ExtendSim AdopterExtendSim Adopter Program

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Arab Academy for Science, Technology, and Maritime Transport

College of Engineering and Technology
Department of Industrial and Management Engineering
AbuKir Campus, Alexandria, Eqypt


Course ExtendSim used in Adopter since 2011
  Discrete Event System Simulation - IM521E
Prof. Khaled El-Kilany, PhD
Type of course
  Undergraduate with 10-31 students, depending on the semester
How ExtendSim typically is used in the course
  For more than 6 years, ExtendSim has been used throughout IM521E to illustrate the various modelling and simulation concepts. This course and its postgraduate course, IM729, focus on building students' skills and providing a hands-on experience with ExtendSim. Thus, rather than focusing on presenting the theory of simulation then applying that theory using ExtendSim, Dr. El-Kilany built models in ExtendSim illustrating basic simulation theory such as random number generation, warm-up period, number of replications, etc.; plus more advanced models of different queuing models, inventory replenishment policies, failures and repairs, etc. 

ExtendSim was then used to solve basic problems found in textbooks such as simulation of passengers arrival at airport gates, simulation of different manufacturing operations such as batching, un-batching, inspection, various modes of material release, emergency breakdowns and scheduled maintenance... etc. These problems were delivered in lab hours and students were allowed to gain the required skills of building their own models within these hours and were sometimes asked to conduct further tests and analysis on these models. 

Finally, they were asked to conduct a group term project, where they are given the chance to select a system to study, collect actual data, analyse the data, develop models, suggest different scenarios, and to make recommendations based on their analyses.
Student projects over the years
  AASTMT Medical Services Facility - Simulation of a queuing system.

Fast Food Restaurant - Order processing simulation.

Starbucks Cafe in Alexandria, Egypt - Analysis of queue buildup.

On Campus Cafeteria
Simulation of available capacity and queues.

QNB Bank (International Bank in City of Alexandria)Simulation of different service offerings, employees schedules, and queues.

McDonald'sSimulation of queues buildup during rush hours to determine the number of cashiers to operate.

Mobinil - Model this mobil carrier network in Egypt

Credit Agricole Bank, Dental Arts Clinic, Metro, Mobil Gas Station

A variety of other real manufacturing systems in Eqypt - evaluation of different maintenance plans in a sheet metal works company, bottleneck analysis for bottled juice producer, and assessing the impact of adding additional filling machine in a yogurt production facility.
Ease with which students learned to model with ExtendSim
  Students actually enjoyed ExtendSim classes more than anything in the course. They are always eager to know more about ExtendSim. Following the EXtendSim User Guide and preparing a set of exercises, problems, and case studies was the key to teaching them how to deveop different simulation models.

The car wash tutorial helped in conveying most of the modelling techniques required to model almost any system. When going through developing their own models, they were advised to always refer to the User Guide and example models provided with ExtendSim to help them in modelling their systems under study.

Students managed to grasp the basic knowledge and skills needed to develop simulation models with fair complexity using ExtendSim in a relatively short period of time. This was evident through the models developed in their group projects in addition to quizzes and cases that tested their abilities individually. Although the students are introduced weekly to different blocks of ExtendSim in lectures (depending on the topic being delivered); yet, they only start working with ExtendSim and develop their own models after the 7th week. Being able to model small problems in labs, quizzes, and final exam in addition to being able to develop models for real systems and suggested improvements to these systems after 7 weeks of lab hours shows the ease with which the students were able to use ExtendSim. 
Benefits attained through the use of ExtendSim
  Teaching a simulation course is always difficult as it always should have the right balance between theory and practice; I manage doing that seamlessly using ExtendSim.

Rather than having a raw theoretical course about simulation with probably some spreadsheet applications of abstract problems, ExtendSim helped students in understanding the essence of simulation practice and theory and helped them in addressing more complex and realistic problems. In Prof. El-Kilany's opinion, the best aspect of using ExtendSim is the flexibility it provides in developing simulations for different situations and systems easily and its ability to model the same problem in various ways. This helps in building students' intuition and skills and helps the instructor in conveying model building knowledge in several approaches. ExtendSim is a suite that includes all the tools to successfully show the various concepts of simulation and complete a simulation study - animation, database, scenaro manager, optimizer, distributing fitting, etc. Also, the libraries and blocks are very easy to deal with and develop various models.
Future plans for ExtendSim at AASTMT
  Based on recommendations by ABET PE, the simulation course will be a compulsory course starting next semester. So, I'm expecting more students to enroll for the course at the undergraduate level. I still use it for illustrating several concepts of Factory Physics and might be a potential course for using ExtendSim in the future.
Conference papers submitted based on models developed in this course
  N. Galal, and K. S. El-Kilany, “Sustainable Agri-Food Supply Chain with Uncertain Demand and Lead Time”, International Journal of Simulation Modelling, vol. 15, no. 3, pp. 485-496, 2016.
  J. El-Zoghby, H. A. Farouk, and K. S. El-Kilany, “Discrete Event Simulation of Patients’ Flow in an Emergency Department”, in Proceedings of the 2016 Industrial and Systems Engineering Research Conference, Anaheim, California, 2016.
  J. El-Zoghby, H. A. Farouk, and K. S. El-Kilany, “An Integrated Framework for Optimization of Resources in Emergency Departments”, in Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia, 2016.
  Nayera E. El-Gharably, Khaled S. El-Kilany, and Aziz E. El-Sayed, "Optimization Using Simulation", World Academy of Science, Engineering and Technology, vol. 78, 2013.
  Sherine Beshara, Khaled S. El-Kilany, Noha M. Galal, “Simulation of Agri-food supply chain”, presented May 13, 2012 at WASET 2012 Amsterdam International Conference.
  El-Kilany, K.S., "Wafer lot release policies based on the continuous and periodic review of WIP levels", presented at Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference.

Additionally, ExtendSim used in the following course
  Discrete Systems Simulation - IM729
Prof. Khaled El-Kilany, PhD
How ExtendSim typically is used in the course
  This course covers the modern methods for simulating discrete event models of complex stochastic systems. Topics covered include:
  The proper collection and analysis of data.
  The use of analytic techniques.
  Verification and validation of models.
  Designing simulation experiments.
  Furthermore, it presents the application of modelling and simulation in manufacturing and material handling systems, and service industries.

The aim of this course is to provide students with a comprehensive knowledge and theoretical background related to the modelling and simulation of discrete systems in addition to conducting simulations using spreadsheets and state-of-the-art simulation environments.
Postgraduate student projects over the years
  Cab Services Company - Optimization of the number of cars be used by the company.

Marine Structure Fabrication Process - Optimization of resource usage.

Textile Coating Line - Modeling and simulating the line.

ISP in Alexandria
 - Study of a multi-channel, multi-phase queuing system for an internet service provider.

Carrier Air-Conditioning Factory - Analysis of cycle time.

Structural Steel Fabrication Facility - Bottleneck analysis.

Benedictine University

College of Business
Department of Undergraduate Business
Lisle, IL USA


Course ExtendSim used in Adopter since 2014
  Business Process Modelling - BALT350
Dr. Deborah Cernauskas
Type of course
  Undergraduate with 15-17 students, depending on the semester
How ExtendSim typically is used in the course
  The class is a part of the Business Analytics major in the undergraduate program at Benedictine University in Lisle, IL. The focus of this class is on understanding how to build simulation models for business processes to determine how changes to the process will impact the process either positively or negatively. ExtendSim is the core of the course. Business process analysis and improvements are modeled using the software. Students learn how to evaluate, model, and restructure processes using ExtendSim.
 
Student projects
  Students are required to complete two projects: a group project (3-4 students per group) and an individual project.

The team project is for the Benedictine Undergraduate, Research, Scholarship and Arts Symposium (URSA) which is held during the spring semester on campus. Undergraduate students present projects they have worked on in their classes. Projects have included improving the ordering process at a local restaurant.

Every student was also required to develop and write up a model that included a model of the current state process with an improved model. Students were required to include KPIs for the current and proposed state models.
Ease with which students learned to model with ExtendSim
  Students like using the software and find ExtendSim easy to learn and use.
Benefits attained through the use of ExtendSim
  Students have learned how to use a simulation modeling tool which will be very beneficial in their careers. Students do not have to write code. Most students in the College of Business do not want to write code, but enjoy building models with the drag and drop icons. Since they can learn to use the software quickly, they want to continue using it after graduation.

NewDelft University of Technology

Delft University of TechnologyFaculty of Technology, Policy and Management
Department of Multi-Actor Systems

Delft, Netherlands

Course ExtendSim used in Adopter since 2017
  SEN9110 Simulation Masterclass
Prof.dr.ir. Alexander Verbraeck
Type of course
  MSc level with approximately 30 students
How ExtendSim will be used in the course
  Advanced discrete event simulation topics will be discussed. Students will learn about distributed simulation and the variety of simulation languages on the market.
Student projects
  Students will be asked to compare and contrast different simulation packages and languages.
Possible ExtendSim use in other courses
  ExtendSim may be used in preparation for MSc theses.

Dublin City University

Dublin City University

Faculty of Engineering & Computing
School of Mechancal & Manufacturing Engineering
Dublin, Ireland


Course ExtendSim used in Adopter since 2015
  Manufacturing Systems Simulation - MM584
Prof. John Geraghty
Type of course
  Masters course with 12 students
How ExtendSim typically is used in the course
  Extendsim was used in a laboratory environment to support the theoretical concepts being introduced in the formal lectures.
Student projects
  The students were required to submit models based on guided tutorial exercises in the first five weeks of the programme (20% of module grade). The remainder of the semester was devoted to modeling task based on integrating an assembly line and a job-shop environment with the goal of maximising the throughput of the system while minimising the work-in-process. They were required to develop a model, design and analyse appropriate experiments and present their work in a formal report (30% of module grade).
Ease with which students learned to model with ExtendSim
  Students largely found the ExtendSim modelling environment to be both intuitive and user friendly. Within 4 to 5 weeks of following guided tutorials they were proficient in the software to begin addressing a modelling challenge which provided only a description of the system (and not the modelling steps).
Benefits attained through the use of ExtendSim
  Students gain an understanding of the modelling environment so quickly that lab hours can be devoted to learning how to model and analyse problems in manufacturing systems rather than learning the software itself.  Students engage with the module more enthusiastically. Since adopting ExtendSim many more students express interest in completing their dissertation on topics that require/could use discrete event simulation as the main modelling tool. I can easily map the theory onto very simple modelling examples that highlight the practical implications of the theory in a manufacturing environment.

Emory University

Goizueta Business School
Department of Information Systems and Operations Management
Atlanta, GA USA


Course ExtendSim used in Adopter since 2014
  Healthcare Operations and Technology Management - BUS652
Prof. KC Diwas
Type of course
  MBA-level elective course with approx. 35 students
How ExtendSim typically is used in the course
  ExtendSim was used in an MBA-level elective course titled “Healthcare Operations and Technology Management” (BUS652) at the Goizueta Business School at Emory University in the spring semester of 2014. In this course, students apply management tools to examine the health care value chain. Specifically, we learn to analyze health care organizations using qualitative as well as quantitative principles of operations management, and develop solutions to problems that are commonly encountered. The course is organized around four key modules:
  Designing healthcare delivery options.
  Capacity planning and decision making under uncertainty.
  Process failure, learning, and improvement
  Innovations in healthcare.
  Students learn from case discussions, lectures, problem solving, in-class exercises, and guest speakers from the healthcare industry. Case settings involve the key stakeholders in the healthcare industry, viz., hospitals and clinics, pharmaceutical companies, medical device manufacturers, IT providers, regulatory agencies, and doctors and patients. Students also learn to use ExtendSim, an award winning simulation tool, to supplement our understanding of process analysis and decision making under uncertainty.
Following the first and second modules on designing healthcare delivery system, and on capacity planning and decision-making under uncertainty, students map out patient process flows using ExtendSim. The goal is to
  1 develop a better understanding of the dynamics of process flows, and
  2 examine “what-if” scenarios involving process level changes that could impact overall performance, including patient length of stay, throughput and waiting times.
Student projects
  Students were assigned a homework problem set, consisting of various problems, which needed to be modeled in ExtendSim. The goal was to develop the ability to translate a verbal description of a business problem into a discrete event simulation model, which would help to generate useful managerial insights.
Benefits attained through the use of ExtendSim
  Students greatly appreciated the utility of the ExtendSim tool, and its wide applicability to a range of business problems.

Fairfield University

School of Engineering
Management of Technology
Fairfield, CT USA


Course ExtendSim used in Adopter since 2012
  Supply Chain Design - DM405
Jim Curry
Type of course
  Masters level course with 12 students
How ExtendSim typically is used in the course
  Used for supply chain simulation purposes.
Student projects
  Homework.
Ease with which students learned to model with ExtendSim
  Moderate difficulty.
Benefits attained through the use of ExtendSim
  Simulation possibilities.

Additionally, ExtendSim used in the following course
  Supply Chain Design - DM407
Jim Curry
How ExtendSim typically is used in the course
  It was used to develop and analyze supply chains.
Student projects
  Each student did a final project. Some of the best were:
  Market access gateway model of stock trading system.
  Traffic signaling system.
  Staffing of customer service operation.
  Raw material supply plan
Ease with which students learned to model with ExtendSim
  It is mixed; 4 picked it up immediately, 2 not at all; 4 were probably normal for non-IT peopl
Benefits attained through the use of ExtendSim
  Hopefully they have a tool they can use in their jobs. They can use it to see the dynamics of supply chains

George Mason University

Volgenau School of Engineering
Department of Cyber Security Engineering
Fairfax, VA USA


Course ExtendSim used in Adopter since 2016
  Discrete Event Systems Modeling - CYSE 325
Robert Leibfried
Type of course
  Undergraduate with approximately 30 students
How ExtendSim typically is used in the course
  This course has recently completed. A status update is pending. The objective of the course was to introduce basic modeling of the dynamics of discrete event systems. Both analytical and simulation techniques for the modeling and analysis of such systems are considered. Relevant concepts from discrete mathematics are included and appropriate software tools (including ExtendSim) are used to examine different engineering applications.

German-Kazakh University

Faculty of Engineering and Economics
Department of Logistics
Almaty, Kazakhstan


Course ExtendSim used in Adopter since 2014
  Supply chain Management Application Systems
Tobias Reggelin
Type of course
  Masters course with 6 to 23 students, depending on the semester
How ExtendSim typically is used in the course
  3 Student groups with 7 or 8 students in each group solved a logistics planning problem with the help of a simulation study with ExtendSim.
Student projects
  Simulation of a supply chain between a producer and a market and evaluation of different order strategies.
Ease with which students learned to model with ExtendSim
  Due to comprehensive documentation and the video tutorials good support for learning progress of students.
Benefits attained through the use of ExtendSim
  Combination of continuous, discrete rate and discrete event simulation. Different simulation paradigms within one tool for introducing logistics engineering students to simulation. Students learned how to support the planning and decision making processes in logistics with the help of discrete-event simulation models.

Additionally, ExtendSim used in the following course
  Logistics Networks and Supply Chain Management
Tobias Reggelin
Type of course
  Undergraduate with 30-35 students, depending on the semester
How ExtendSim typically is used in the course
  5 Student groups with 6 or 7 students in each group solve logistics planning problems with the help of a simulation study with ExtendSim.
Student projects
  Simulation of a supply chain between a producer and a market and evaluation of different order strategies.
Ease with which students learned to model with ExtendSim
  Due to comprehensive documentation and the video tutorials good support for learning progress of students.
Benefits attained through the use of ExtendSim
  The combination of different simulation paradigms - continuous, discrete rate, and discrete event simulation - within one tool is ideal for introducing logistics engineering students to simulation. Students learned how to support the planning and decision making processes in logistics with the help of discrete-event simulation models.

NewHereford Sixth Form College

Hereford Sixth Form College

Hereford Sixth Form College
Mathematics

Hereford, United Kingdom

Course ExtendSim used in Adopter since 2017
  EPQ - Extended Project Qualification
Peter Turner
Type of course
  College prep course
How ExtendSim will be used in the course
  ExtendSim will be used to support students who wish to take an EPQ qualification in the UK, an additional qualification to the normal high school subject based ones that is increasingly being used as a differentiator that can help students get into top Universities in the UK and can reduce the grades needed in their other subjects. This qualification is widely seen as a great help to students who are interviewing at the most prestigious universities, such as Oxford and Cambridge. 

Students will not only learn simulation techniques, but how to plan, document, and execute a modeling project.
Student projects
  For the qualification, most students write a long essay (5000+ words) based on an area of research that interests them. As an ExtendSim Adopter, Hereford Sixth Form College provides students with the possibility of a modelling and simulation option for their projects.

Hofstra University

Zarb School of Business
Department of Management and Entrepreneurship
Hempstead, NY USA


Course ExtendSim used in Adopter since 2011
  Business Process Management
Dr. Kaushik Sengupta
Type of course
  Masters level course with approximately 15-35 students, depending on the semester
How ExtendSim typically is used in the course
  Simulation methods and practices are discussed for about 50% of the semester. We use ExtendSim during this part of the course where students model business scenarios, case based models and practical models to understand the nuances of simulation.
Student projects
  Group projects on actual companies - previous examples have modeled car wash operations, banks, gyms and airlines.
Ease with which students learned to model with ExtendSim
  Quite easy with some in-class discussions and the user manual. It does take some time for them to learn what each block does. The other part of the learning curve for them was to understand the overall structure of a simulation model.
Benefits attained through the use of ExtendSim
  I cannot think of doing this class in any other way, other than using a software like ExtendSim. It is really fabulous to be able to use this in an academic setting with the way the licensing is set up. The practical use of a commercial software gives students invaluable experience to have an experiential class rather than a theoretical class.
Comments
  Thanks for offering this licensing option - it is one of the best in the industry.

UpdatedJohns Hopkins University

Carey Business School
Operations Management Department
Baltimore, MD USA


Courses ExtendSim used in Adopter since 2012
  Healthcare Operations and Quality Improvement &
Managing Medical Services
Prof. Chester Chambers
Type of course
  Masters level course with 20-30 students, depending on the semester
How ExtendSim typically is used in the course
  In the Healthcare Operations and Quality Improvement course, ExtendSim will be used as part of case analysis and student projects.

In the Managing Medical Services course, ExtendSim was used as part of homework assignments on process re-engineering. In particular students used ExtendSim to create simulation models of a pharmacy prescription fulfillment process. This exercise supplemented case analysis and classroom discussion. Students were provided with instruction on model development via use of videos distributed via YouTube. ExtendSim was later used as part of a more complex case analysis exercise focused on management of cycle times and waiting times in a real specialty clinic with Johns Hopkins Outpatient Center. Instructor provided activity time data as part of case study for the students to start model development.
Student projects
  In the Healthcare Operations and Quality Improvement course, case analysis is tied to use of ExtendSim models of an outpatient clinic.

In the Managing Medical Services course, student teams created and altered models of appointment based outpatient clinics. This was done in conjunction with discussion of a case written by course instructor. Student models were used to analyze questions involving patient unpunctuality, resource levels, pre-processing, and schedule formulation. Students also compared performance in simulated clinics in private practice and an Academic Medical Center. Final projects were presented to clinic director for comment and evaluation.
Ease with which students learned to model with ExtendSim
  Key elements in using ExtendSim in this course were providing students with a basic model that they could manipulate and alter to address more detailed questions. Also, use of videos on model development allowed the instructor to minimize classroom time covering technical details to less than 2 hours. Students worked in teams on all simulation related assignments so they could help each other over technical hurdles.
Benefits attained through the use of ExtendSim
  Students could get involved with complex questions such as value of parallel processing, evaluation of alternative patient schedules, and hypothetical exercises involving changing resource levels and pre-processing of patients. These experiments could not be done in clinic without affecting care delivery. Use of simulation allows researchers to show clinic directors the potential impacts of changes to delivery system.

ExtendSim was used in published research involving the same medical clinic. It was key to be able to use the same tool and models in research as well as classroom exercises.
Conference papers submitted based on models developed in this course
  Chester Chambers, Johns Hopkins Carey Business School; and Kayode Williams, Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, "Case - Miller Pain Treatment Center", INFORMS Transactions on Higher Education, vol. 17, issue 3, June 2017.

Korea University

Korea University Business School
Seoul, Korea


Course ExtendSim used in Adopter since 2012
  Service Operations Management - BUSS376
Hosun Rhim
Type of course
  Undergraduate with 20-45 students, depending on the semester
How ExtendSim typically is used in the course
  One tutorial session for ExtendSim is held where we demonstrate how to build discrete event simulation models.
Student projects
  Creation of simple queuing models.
Ease with which students learned to model with ExtendSim
  Teaching material was very helpful. Simple queuing models were modeled easily using ExtendSim.
Benefits attained through the use of ExtendSim
  Students liked the session because they have a tool to solve the issues of service configuration. Without tedious introduction of queueing models, service operations systems are quantitatively analysed. Students have tools to visualize and analyze service operations system.

Missouri State University

Missouri State

College of Business
Department of Marketing
Springfield, MO USA


Courses ExtendSim is currently being used in Adopter since 2011
  Management Decision Making - MGT 368
Measurement and Management of Quality in Health Care - MKT368
Dr. Corinne M. Karuppan
Type of course
  Graduate course with 89 students.
How ExtendSim typically is used in this course
  ExtendSim was used to simulate different process configurations. In MGT 711, they simulated health care processes; the benefits of parallel processes were emphasized. In MKT 368, they learned how to use StatFit and set up different queue configurations.
Ease with which students learned to model with ExtendSim
  Very easily. I developed video tutorials.
Benefits attained through the use of ExtendSim
  Students get to use and model actual data and redesign processes. Simulation is a concrete way of visualizing processes in action.

Additionally, ExtendSim has been used in the following course
  Advanced Operations: Business Process Management
Dr. Corinne M. Karuppan
Type of course
  Undergraduate with 30 students
How ExtendSim typically is used in the course
  Use of ExtendSim in Classroom – Business Process Management Students spend about one third of the semester working on the analysis of current processes and their improved redesign. These classes are held in a teaching lab. The final team project is based on an actual business process. The report includes:
  A case for redesign with financial justification.
  Arrival and service time data with identification of probability distributions.
  Simulation model of existing system.
  Simulation of alternative designs with performance data.
  Process design selection.
Ease with which students learned to model with ExtendSim
  Not a problem
Benefits attained through the use of ExtendSim
  Easy to teach and learn. Enabled better visualization of processes.

Another course ExtendSim was used in
  Business Process Managment - MGT 565/675
Dr. corinne M. Karuppan
Type of course
  Undergraduate course with 32 students
How ExtendSim was used in the course
  ExtendSim was used to model real business processes, analyze them, and make recommendations for improvement.
Student projects
  Students had to observe a real business process, collect data on interarrival times and service times at each process step. They had to find the appropriate probability distributions for those times. Then, they simulated the original process they observed to validate their model and formulated alternative designs using multiple performance measures. The best configuration was selected on the basis of several performance measures.
Ease with which students learned to model with ExtendSim
  Easily. But students need practice, practice, practice.
Benefits attained through the use of ExtendSim
  Students are able to visualize the process they observed, change it, and see rather quickly the impact of their redesign efforts.
Paper submitted based on models developed in this course
  Elena Ervin, Steve Martin, Jason Smith, Olga Zhdanava, and Greg Winkeler, "Simulation of Ticket Entry and Resolution, MGT 565/675, 2011.

Ohio State University

Ohio State University

Fisher College of Business
Department of Management Sciences
Columbus, OH USA

Course ExtendSim used in Adopter since 2011
  Operations Management & Information Technology - MGT 4233
Prof. David Schilling
Type of course
  Undergraduate BSBA program elective with 25-45 students, depending on the semester
How ExtendSim typically is used in the course
  In this course the fundamentals of discrete event simulation are discussed. The tables below identify the concepts learned in each course. The application used to learn these concepts is Bank teller scheduling.

Topics learned in MGT4233:
  Common Random Number Distributions
  Use of Random Number Generators
  Managing Random Number Seeds
  Sending Items and Information through a simulation
  Modeling:
  Effect of multiple trials
  Queuing Systems
  Labor Schedules
  Changing Arrival rates
  Trial & Error
  Search for good solutions
  Basic Building Blocks:
  Create Items
  Queues (FIFO, Renege)
  Activities
  Plotters
  Routers
  Decisions
  Statistics (Queue, Activities, Cost)
  Using Named Connections
  Cloning inputs and outputs
  Exporting results to Excel
Student projects
  Modeling bank teller scheduling and fast food restaurant.
Ease with which students learned to model with ExtendSim
  Reasonable, given the richness of the software's capabilities and our limited time.
Benefits attained through the use of ExtendSim
  Direct hands-on experience building and using discrete event simulation models in a visual, object-oriented environment.

NewOregon State University

Oregon State UniversityCollege of Business
Department of Supply Chain & Logisitics Management

Corvallis, OR USA

Course ExtendSim will be used in Adopter since 2017
  Service Operations Management
BA 552 & BA 459
Prof. Hyun Seok Lee
Anticipated students for Winter 2018
  30 (BA 552: MBA level); 45 (BA 459: Undergraduate level)
How ExtendSim will be used in the course
  The service sector is responsible for approximately 78% of the GDP, and 80% of the employment in the United States. In addition to the “pure” service sector (retail stores, restaurants, airlines, etc.), many manufacturing firms are becoming increasingly service oriented as they seek to gain a competitive edge.

Elements common to most services make the management of service operations quite complex. In particular, services are intangible, not storable or transportable, and often highly variable. The delivery of the service frequently involves a significant amount of customer contact. For example, Disney World can only provide a ride on Splash Mountain to a customer that comes to the park, and Disney cannot “store up” idle capacity on its rides in the off-season to satisfy demand during the peak-season such as Spring Break. All of these factors make service operations different from manufacturing operations, and thus the task of achieving excellence in them requires particular strategies and analysis methods. How can a company achieve operational competitiveness in this context? What are the tools to analyze service operations? In this course, we will learn both qualitative frameworks and quantitative tools that will help us manage such complex environments to achieve timely, high-quality, profitable services.

This course provides a general manager’s perspective addressing both strategic analysis and operational decision making, with emphasis on the later. The course will have three main modules:

• Designing a service system
• Queuing systems
• Revenue management
Simulation concepts to be taught in the course
  Queuing system will be covered and ExtendSim will be used for the simulation.
Projects to be fulfilled by the students using ExtendSim
  Students are expected to apply tools and techniques covered in the class to the project.

Otto von Guericke Universität Magdeburg

Otto von Guericke Universitat Magdeburg

Institute for Logistics and Material Handling Systems
Faculty of Mechanical Engineering
Magdeburg, Germany

Course ExtendSim used in Adopter since 2010
  Modeling & Simulation in Logistics Planning
Tobias Reggelin or Juri Tolujew
Type of course
  Masters course with 35-49 students, depending on the semester
How ExtendSim typically is used in the course
  ExtendSim is used to show the 3 simulation paradigms and their use in different logistics planning tasks. Students learned to model simulation models on a mesoscopic aggregation level with the help of the discrete rate simulation paradigm of ExtendSim. 
Student projects
  Development of small models for logistics planning tasks..
Ease with which students learned to model with ExtendSim
  Due to the comprehensive documentation, the students learned very fast. Development of small models for logistics planning tasks.
Benefits attained through the use of ExtendSim
  Different simulation paradigms within one tool - continuous, discrete rate and discrete event simulation - is ideal for introducing logistics engineering students to simulation.

Additionally, ExtendSim is being used in the following course
  Logistics Project Work
Tobias Reggelin
Type of course
  Undergraduate with 70-80 students, depending on the semester
How ExtendSim typically is used in the course
  Eight to ten student groups with 8-9 students in each group solved a logistics planning problem with the help of a simulation study with ExtendSim.
Student projects
  Simulation of a supply chain between a producer and a market and evaluation of different order strategies.
  Simulation of a material flow within a production line and evaluation of different setting-up strategies.
  Simulation of a distribution network for delivery to different customers.
  Simulation of a transportation network and comparison of different routing planning algorithms.
  Simulation of a material transportation system between different stages in a production line.

Additionally, ExtendSim is being used in the following course
  Logistics Planning Project
Tobias Reggelin or Juri Tolujew
Type of course
  Masters course with 56-60 students, depending on the semester
How ExtendSim typically is used in the course
  Seven student groups with 8-9 students in each group solved a logistics planning problem with the help of a simulation study with ExtendSim.
Student projects
  Simulation of a supply chain between a producer and a market and evaluation of different order strategies.
  Simulation of a material flow within a production line and evaluation of different setting-up strategies.
  Simulation of a distribution network for delivery to different customers.
  Simulation of a transportation network and comparison of different routing planning algorithms.
  Simulation of a material transportation system between different stages in a production line.
. Theses for students' Masters and Bachelors degrees.

Radford University

Radford University

College of Business & Economics
Department of Management
Radford, VA USA

Course ExtendSim used in Adopter since 2011
  Operations Management
Michael King
Type of course
  Masters course with 19 students
How ExtendSim typically is used in the course
  ExtendSim was used to help students development modeling and process design skills and to support quantitative analysis of models.
Student projects
  Each student was required to prepare a semester long project and present it to the class.
Ease with which students learned to model with ExtendSim
  Moderate, due to most students having not been exposed to discrete simulation concepts and advanced statistics.
Benefits attained through the use of ExtendSim
  Excellent and intuitive GUI. ExtendSim allows students to understand different levels of abstraction.

Additionally, ExtendSim used in the following course
  Operations Management for MBAs - MGMT 624
Michael King
How ExtendSim typically is used in the course
  Examine the role of an operating system in a firm, and then use OM principles to explain those value added activities that create the goods and services it supplies to customers.
  Explain the strategic importance of operations management in a highly competitive and global environment.
  Apply the principle functions and strategies of discrete event simulation to define, measure, analyze, improve and control the managerial decision making process of any business environment.

Saint Bonaventure University

Saint Bonaventure

School of Business
Department of Management

St. Bonaventure, NY USA

Course ExtendSim used in Adopter since 2015
  Introduction to Management Science
Zahid Khairullah
Type of course
  Graduate course with approximately 70 students
How ExtendSim typically is used in the course
  To learn about and apply simulation using the software.
Student projects
  Class problem solving
  A case study involving simulation
Ease with which students learned to model with ExtendSim
  Undergraduate students had some difficulty setting up the models. Many got over that after a few classes.
Benefits attained through the use of ExtendSim
  Some familiarity with applications of simulation and not needing to program in any language.

St. Joseph's University

St. Joseph's University

Haub School of Business
Department of Decision & System Sciences
Philadelphia, PA USA

Course ExtendSim used in Adopter since 2011
  Business Process Modeling & Analysis
Virginia Miori
Type of course
  Graduate course growing from 9 students in 2011, to 200 students now!
How ExtendSim typically is used in the course
  It is the primary tool for modeling business processes. The entire course is centered around the use of the Student version of ExtendSim.
Student projects
  Several homework assignments and one major case. The case requires evaluation of data and statistical fit along with post simulation statistical hypothesis tests.
Ease with which students learned to model with ExtendSim
  Over the years, we have adapted our teaching in order to provide students with learning support. Because of this, we have seen students learn with greater ease. As the software has been enhanced, our students have also benefited.
Benefits attained through the use of ExtendSim
  Stronger programming skills, better ability to understand and model processes, better ability to see the big picture in problem solving. These greater student capabilities translate to professionals with more skills and a greater likelihood that they will use simulation in their jobs. We can teach our students about the concept of benchmarking and help them see different ways to model operations. ExtendSim lends itself so well to these tasks.

ExtendSim is a simulation language that works independently of Excel. It shows the students what is out in the world and allows them to carry this back to their own jobs. It expands their ability to contribute in the workplace and expands their ability to conceive of other approaches to problem solving.

St. Mary's University

St. Mary's University

School of Science, Engineering, & Technology
Department of Computer Science

San Antonio, TX USA

Course ExtendSim used in Adopter since 2011
  Advanced Topics - Modeling & Simulation - COM671
Prof. Pamela K. Fink
Type of course
  Cross-listed as both an undergraduate and graduate course
How ExtendSim typically is used in the course
  Prof. Fink uses ExtendSim in the Modeling and Simulation class which is offered every couple of years. The course is designed to cover four major areas of modeling, including physical modeling, process modeling, intelligent agent modeling, and 3D visual modeling. These areas are central to the course as the course is part of a concentration in computer gaming. ExtendSim is taught and used explicitly for the process modeling component of the course, though the students are also allowed to use it in the intelligent agent modeling portion if they so chose.

Undergrads are allowed to work in pairs if they so chose, graduate students on solo projects. In order to get the knowledge needed on a process to model, it was suggested that students go to the Science Channel's Web site "How It's Made", so the subjects selected almost all had to do with manufacturing, though one model had to do with how a device functions. For further details, click here to see the actual assignment. The following were the areas modeled by the students:
  How a speaker works
  Manufacture of a pocket knife
  Manufacture of a baseball
  Manufacture of an 1873 model Colt
  Manufacture of an ice cream cone
  Manufacture of a fireman's helmet
  Manufacture of a CRT
  There was quite a diverse set of areas chosen by the students and, based on their subject area, each used different libraries. One student even created a few blocks for her own library. Most also used the hierarchical capability of the tool, and several used the graphical user interface capabilities.

NewSingapore University of Technology & Design

singapore

Engineering Systems & Design
Singapore

Course ExtendSim used in Adopter since 2017
  Operations Management - ESD 40.003
Yiwei Chen
Type of course
  Undergraduate with 50 anticipated students
How ExtendSim will be used in the course
  This course will provides an introduction to methods for managing manufacturing and service operations. Topics include:
  Manufacturing and service systems
  Production planning and scheduling
  Inventory control
  Queuing and service system design
  The objective of the course is to familiarize students with quantitative models that can be used to make decisions in each of these areas. Special emphasis will be given to the link between operational issues and strategic objectives regarding cost, responsiveness, flexibility, product variety, and customer differentiation, among others. The implications of various emerging technologies, business practices, and government regulations will also be discussed.

Southern Connecticut State University

Southern Connecticut State University

School of Arts & Sciences
Department of Mathematics

Newtown, CT USA

Course ExtendSim used in Adopter since 2016
  Mathematical Modeling Seminar - MAT 488
Theresa Sandifer
Type of course
  Undergraduate anticipating 15 students in Spring 2017
How ExtendSim will be used in the course
  Mathematical models
  Discrete and continuous models
  Building models (mostly with equations)
  Evaluating these models and others already established (running simulations)

Toi-Ohomai Institute of Technology

Toi-Ohomai

Foresty and Resource Management
Rotorua, New Zealand

Course ExtendSim used in Adopter since 2016
  Forestry Supply Chain Management - FMAN.5109
James Broadley
Type of course
  40 potential students
How ExtendSim will be used in the course
  The aim of this course is to provide students with an understanding of log grades and log measurement, log markets, and log logistics operations. The concepts of supply chain management are introduced, including:
  Port and log inventory operations
  Woodflow management
  Measure the flow of wood from forest to customer

Additionally, ExtendSim will be used in the following course
  Plan & Monitor Production - FMAN.5207
James Broadley
How ExtendSim will be used in the course
  The aim of this course is to allow students to research, analyse and report on a forestry production process improvement in a forest growing or harvesting context including the calculation of production targets, analysing forestry production processes, collecting and interpreting production data, identifying and planning strategies for process improvement. The course also aims to give students an understanding of the systems required to monitor the production and quality of a forestry operations.

Additionally, ExtendSim will be used in the following course
  Industry Project - GENR.6990
James Broadley
How ExtendSim will be used in the course
  This course will provide students with the opportunity to apply their specific discipline knowledge through the development of an improvement initiative in relation to an aspect of an industry relevant to their chosen discipline. Students will research an industry, select a subject area, plan a project of their own choice, gather and analyse information, formulate conclusions and recommendations, develop a written report and present project findings orally to an audience.

NewUniversidad Austral

Universidad AustralFacultad de Ingenieria
Maestría en Gestión de Operaciones

Pilar, Buenos Aires, Argentina

Course ExtendSim used in Adopter since 2017
  Simulación Discreta
Prof. Victor Herrero
Type of course
  Masters level with 19 students
Course objectives
  Master complex problems using specific modeling techniques as well as simulation and computational optimization to find efficient solutions.
  Make management decisions based on the use of these techniques.
  Lead the activities of an organization in the areas of Operations, Supply Chain, and Projects.
How these objectives will be achieved
  Practical application of existing problems in the supply chain with the use of simulation software.
  Rigorous interdisciplinary education for the practical application of real supply chain processes.
  Integration with a valuable network of contacts between the participants and interaction with first level students with professional diversity.

Universita Di Roma "La Sapienza"

Universita Di Roma La Sapienza

School of Management & Decision Sciences
Department of Science & Statistics

Rome, Italy

Course ExtendSim used in Adopter since 2011
  Business Process Reengineering - MAT 09
Dati Reti e Sistem - SECS S01
Paolo Dell'Olmo
Type of course
  Masters courses with 15-30 students, depending on the course
How ExtendSim typically is used in the course
  This is a short note on the adoption of ExtendSim software in the classes of Data, Networks & Systems and Business Process Reengineering of the Master program in Data Intelligence and Strategic Decisions.

For both cases the students used ExtendSim Simulation software to design and analyse some service networks which simulated a variety of systems (including Post Offices, Emergency Services, Web Servers, and so on).

At the end of each course, the students, working in small groups of two to four people, had to realize a simulation project of a realistic (existing) system, performing data collection, distribution analysis, and model validation and verification.

Universität Duisburg-Essen

Universitat Duisburg-Essen

Lehrstuhl Für Wirtschaftsprüfung, Unternehmensrechnung und Controlling
Auditing, Managerial Accounting and Control

Essen, Germany

Course ExtendSim used in Adopter since 2012
  Operatives Controlling
Prof. Dr. Ludwig Mochty
Type of course
  Graduate with 142 students
How ExtendSim typically is used in the course
  ExtendSim is used as a tool for teaching the dynamic aspects of problems arising in the field of managerial control. ExtendSim plays a pivotal role within the Curriculum of this course and will continue to do so in the future. 
Student projects
  Students have to design and implement their own models for different case studies.
Ease with which students learned to model with ExtendSim
  By using a self-developed manual, students found an easy access to ExtendSim.
Benefits attained through the use of ExtendSim
  A deeper understanding of the dynamic aspects of managerial control as opposed to traditional comparative static models presented in typical textbooks. The graphical user interface and the possibility to use items of the different predefined libraries is the best aspect of using this software.

University of Alberta

alberta

Alberta School of Business
Department of Accounting, Operations, & Information Systems
Edmonton, AB Canada

Course ExtendSim used in Adopter since 2012
  Simulation & Computer Modeling Techniques in Management - OM 422/622
Chris Neuman
Type of course
  Undergraduate with 35 students
How ExtendSim typically is used in the course
  The second half of the course is an introduction to discrete event simulation. Students used ExtendSim to complete a group project, one quiz, and two assignments.
Student projects
  The final project required students to develop a model of a retail service facility and to examine the impacts of various service changes (operating hours, policies affecting arrival and service rates) on various performance metrics. Past projects include a group project requiring students to model a barbershop and use the model to investigate the impact of shift schedules on various system metrics.
Ease with which students learned to model with ExtendSim
  Students appeared to understand how to model relatively quickly, which was impressive given it was not only their first introduction to Extendsim but to visual simulation in general.
Benefits attained through the use of ExtendSim
  With Extendsim, students were able to move quickly from zero experience to building reasonably complicated models. They also learned the benefits of visualization when eliciting buy-in from decision makers. Having ExtendSim allowed students to put their theoretical learning about discrete event simulation to use in a way that encourages them to retain the information.

Students benefited from hands-on experience with commercial-level software and developed an appreciation for the skills that go into creating a model, as well as the benefits of DES as an analytical tool for complex systems. The ability to quickly construct models using blocks and connectors. This enables rapid prototyping as well as good experience. It allows me to coach students to create a basic model first, then add complexity on an incremental basis.
Other comments
  We really appreciate the opportunity to use this software in the course. The feedback we have gotten from students makes clear that they find access to software like this a valuable addition to the course.

Univeristy of Auckland

University of Auckland

Faculty of Engineering
Department of Civil & Environmental Engineering
Auckland, New Zealand

Course ExtendSim used in Adopter since 2011
  Discrete Event Simulation in Construction - Civil 792
Vicente Gonzalez
Type of course
  Masters course with 10-12 students
How ExtendSim typically is used in the course
  Used to teach how to build up simulation models of construction operations.
Student projects
  Simulation of Construction Projects
Ease with which students learned to model with ExtendSim
  Relatively easy.
Benefits attained through the use of ExtendSim
  ExtendSim provides flexibility for students to develop models and ability to visualize data. They are able to model complex production scenarios in construction by using the object-oriented structure of ExtendSim.

University of British Columbia

University of British Columbia

University of British Columbia
Norman B. Keevil Institute of Mining Engineering
Vancouver, BC Canada

Course ExtendSim used in Adopter since 2014
  Modeling & Simulation - MINE350
W. Scott Dunbar
Type of course
  Undergraduate course with 50 students
How ExtendSim typically is used in the course
  Development of continuous and discrete event models of industrial processes for problem solving purposes.

During the course, we solved 2 problems using continuous modeling and a third with discrete event modeling. Each requires estimating the distributions and probabilities of the outputs of models with random inputs. This can be done analytically in two of the problems. Simulation using ExtendSim is required for the other problem. 
Student projects
  Various assignments; including a simulation of haul truck shovel operations with complex truck assignment schemes.
Ease with which students learned to model with ExtendSim
  Students are fairly proficient in ExtendSim within less than 1 week. Starter tutorial given. Some also programmed blocks. The students were first-time users of ExtendSim and found it very easy to use.
Benefits attained through the use of ExtendSim
  ExtendSim has a simple, yet intuitive interface with good examples. It gives students a better understanding of probability and uncertainty, plus boosts their confidence in modeling difficult problems. 

University College London

london

Faculty of Engineering
Department of Biochemical Engineering

London, UK

Course ExtendSim used in Adopter since 2012
  Bioprocess Systems Engineering
Sofia Simaria
Type of course
  30 to 40 Masters level students
How ExtendSim typically is used in the course
  To introduce the concepts of stochastic simulation and discrete-event simulation.
  Application of discrete-event simulation to biopharmaceutical manufacturing systems and processes.
  Plus, it is used in practical hands-on sessions.
  Uncertainty analysis
  Bottleneck analysis
  Manufacturing simulation
Student projects
  Analysing the current manufacturing process of a biopharma manufacturer, using a discrete-event simulation model, and providing recommendations about possible improvement alternatives to implement.
  Development of bioprocess manufacturing simulation models.
  Implementation of bioprocesses for drug manufacturing
  Identification of bottlenecks
  Implementation of process improvements
Ease with which students learned to model with ExtendSim
  Very easily.
Benefits attained through the use of ExtendSim
  Awareness of advantages of discrete-event simulation techniques, plus the animation gives students the ability to understand the flow of entities and results of model assumptions in the design and evaluation of alternative manufacturing processes.

Using ExtendSim added a new set of skills to students, not previously provided within the course.

University of Colorado

University of Colorado

Leeds School of Business
Management & Entrepreneurship
Boulder, CO USA

Course ExtendSim used in Adopter since 2016
  Business Process Analysis - MBAX 6410
Prof. Marco Better, PhD
Type of course
  Masters course with 12 students
How ExtendSim typically is used in the course
  The second half of the course is dedicated to the concepts and practice of simulating business processes, and ExtendSim is the tool used to teach simulation.
Student projects
  Students had to complete 5 weekly assignments involving using ExtendSim to simulate part of a business process, and a final project where they used the tool to model a complex process as-is, and to experiment with process redesign and improvement.
Ease with which students learned to model with ExtendSim
  They found ExtendSim to be easy to use. Student version (LT) created problems with the limits on the number of blocks.
Benefits attained through the use of ExtendSim
  The tool is very "intuitive" compared to other commercially available competitor products. It is easy to visualize the flow of items in a flowchart-like design workspace. Students were able to see the ease of use and value of a simulation-based approach to process measurement and redesign.
Additional comments
  The adopter program is an excellent way to have a win-win situation for the University, the students and ExtendSim!

University of Indianapolis

University of Indianapolis

School of Business
Information Systems Department
Indianapolis, IN USA

Course ExtendSim used in Adopter since 2012
  Systems & Process Analysis
Jerry Flatto
Type of course
  Undergraduate with 26 students
How ExtendSim typically is used in the course
  Course was based around ExtendSim and had students develop a variety of simulations, including some that included costs.
Student projects
  Grocery store customer flow and queueing process
  X-ray facility
  Adoption process in the Humane Society
  Basketball
  Airport security
  Car wash
  Bank management
  Major project modeling
Ease with which students learned to model with ExtendSim
  For the students willing to put in the effort, it was pretty easy. The built-in help on the blocks and the user manual were very helpful.
Benefits attained through the use of ExtendSim
  It is easy to use. The graphical interface makes visualizing the process easier to understand. The block-based method of creating models by connecting blocks together to build more complex models is one of the best aspects of using ExtendSim. It provided the students an appreciation of how simulation can assist in decision making.

University of Iowa

University of Iowa

Tippie College of Business
Management Sciences
Iowa City, IA USA

Course ExtendSim used in Adopter since 2013
  Business Process Analysis - MSCI 3030
Jeffrey Ohlmann and Michael Altemeier
Type of course
  Undergraduate course with 100 to 130 students
How ExtendSim typically is used in the course
  Students use ExtendSim to model business processes and gauge impact of improvement ideas. It is used for homework assignments, lab exercises, and examinations.
Student projects
  Students completed homework assignments and a Kaizen project using ExtendSim. Plus, the final exam is administered in the computer lab using ExtendSim.
Ease with which students learned to model with ExtendSim
  Moderate learning curve. I create video tutorials on specific ExtendSim logic. Students are directed in weekly lab sessions for in-person help. The combination of these two things allow students to learn ExtendSim well.
Benefits attained through the use of ExtendSim
  Relatively user-friendly, but still flexible enough to model real problems. The point-and-click interface of ExtendSim makes it easy to get started. Students can see the effects of variability and the impact of process improvement efforts to directly observe course concepts (queueing, impact of variability, process improvement, etc.). It allows students to test and observe.

University of Moratuwa

University of Moratuwa

Faculty of Engineering and Technology
UNESCO Madanjeet Singh Center for South Asia Water Management
Moratuwa, Sri Lanka

Course ExtendSim used in Adopter since 2016
  Irrigation Engineering
Prof. N.T.S. Wijesekera
Type of course
  Masters course with approximately 23 students
How ExtendSim typically is used in the course
  ExtendSim was used to teach the post graduate students how to model an irrigation reservoir and associated cultivation area for sustainable water management and to identify important physical properties and water management techniques and practices for irrigation system design, planning and operation with the use of ExtendSim tools.
Student projects
  Students individually developed their own ExtendSim model with the lecturer giving step by step guidance to develop an irrigation reservoir operation model using ExtendSim.
Ease with which students learned to model with ExtendSim
  Student recognized the graphical interface as a versatile tool compared to the normally used spreadsheet type models.
Benefits attained through the use of ExtendSim
  The advantage for the students is the ability to easily incorporate a variety of concepts. This is a very important feature in case of water resources management. Post graduate students are impressed by the use of advanced modelling tools for our teaching in the Masters of Water Resources Engineering Program. This enhances the status of our University. 

University of North Carolina Wilmington

University of North Carolina Wilmington

Cameron School of Business
Information Systems & Operations Management Department
Wilmington, NC USA

Course ExtendSim used in Adopter since 2015
  Introduction to Computer Simulation - QMM 485
Barry A. Wray
Type of course
  Undergraduate course with 12 students
How ExtendSim typically is used in the course
  Primary simulation package used in the course. Students learn fundamental concepts, such as:
  Introduction to simulation and models
  Discrete event simulation
    -Queuing model
    -Inventory control model
  Probability and statistical testing
  Random number generation
  Generating random variables from discrete and continuous probability distributions
  Terminating simulations
  Steady-state simulation
  Analysis of experimental results from computer simulations
  Application of simulation using ExtendSim
  Modeling basic operations and inputs
  Develop animated displays of complex systems
  Modeling detailed operations
  Course project
  Identify and analyze a business system to model
  Build a simulation model using ExtendSim
  Run the model and generate experimental data
  Analyze the data generated by the model
  Interpret the results
  Build an implementation plan
Student projects
  Homework, quizzes, tests, and a final project.
Benefits attained through the use of ExtendSim
  The advantage of ExtendSim is the graphical nature of its interface (blocks/connections). And that students learn to use simulation.

University of Rochester

rochester

Simon Business School
Rochester, NY USA

Course ExtendSim used in Adopter since 2010
  Service Operations Management
Phillip J. Lederer
Type of course
  Second year MBA elective course taken by 20-32 students
How ExtendSim typically is used in the course
  The simulation package was a central part of the course.

The software fit quite well into the topic of the course which was managing service systems. In terms of applications, the package was used by students to model various service operations. Many of the cases were based upon Harvard Business School cases (BAT, Benihana, CVS).
  A car wash (an exercise from ExtendSim examples).
  Police dispatching policies for patrol cars.
  Planning capacity for a drive up gas station/comvenience store.
  Managing a technical call center and priority rules (BAT case).
  Capacity analysis of a restaurant (Benihana of Tokyo).
  Process improvement of a retail drug store (CVS case).
  Modeling services in a bakery, barber shop, and supermarket.
  Organizing a salesforce (Baria Harvard Case)
  Most enlightening is the new ExtendSim exercise I used for the midterm. What is most enlightening is the list of homework assignments related to ExtendSim.
Training materials
  I was greatly aided by Robin Clark who shared his knowledge of ExtendSim with me.

I continued to make tutorial videos to help my students learn ExtendSim. I added a couple of new ones on more detailed issues.

I created a couple of new videos. The most important was on interpreting statistical results. Here I show that events in ExtendSim simulations are correlated so that the Central Limit theorem does not hold. This is important to note when viewing averages and variances output.
Ease with which students learned to model with ExtendSim
  Most mastered it.
Benefits attained through the use of ExtendSim
  Students learned to do simulation. The visual interface of ExtendSim is its most attractive feature. 

University of Southern California

University of Southern California

Marshall School of Business
Department of Data Sciences and Operations
Los Angeles, CA USA

Course ExtendSim used in Adopter since 2011
  Discrete Event  Simulation for Process Management
Prof. Amy Ward
Type of course
  Graduate course with approximately 45 students
How ExtendSim typically is used in the course
  This is a half-course focused entirely on Discrete-Event Simulation. The course is derived from an earlier full semester course, Simulation for Business Analytics. That course was split into half-semester courses.
Student projects
  There is a project for this course, required to be done in ExtendSim.
Ease with which students learned to model with ExtendSim
  Fine.
Benefits attained through the use of ExtendSim
  It is reasonably intuitive to get started, once the basics of discrete-event simulation are known. The user interface is the best aspect of ExtendSim.

Additionally, ExtendSim has been used in the following course
  Simulation for Business Analytics - IOM 599
Prof. Amy Ward
Type of course
  Graduate course with 30 students
How ExtendSim typically is used in the course
  The approach of this new course was to build simulation models to answer practical questions that are motivated by business decisions. For example, simulation was used to:
  Estimate the return of an index-based stock market portfolio.
  Determine if project deadlines could be met.
  Decide on the staffing level and workload division in a service system.
  Locate company production facilities.
  Over the course of building these simulation models, both the power of simulation and some of its pitfalls and limitations were discovered.

The course consisted of:
  Lecture
  Homework assignments
  Take-home assignments
  Project
Student projects
  One end-of-term group project. Each group had 4 to 5 students. Various applications (inventory management, call center, etc) were represented by each group
Ease with which students learned to model with ExtendSim
  Really depended on how comfortable the student felt with prob/stat and modeling.
Benefits attained through the use of ExtendSim
  The class was a mix of non-technical MBA students and more technical Masters students interested in Analytics. I am not sure I could have done discrete event simulation without the easy graphic interface.

Additionally, ExtendSim has been used in the following course
  Dynamic Programming and Markov Decision Processes - IOM 677
Prof. Amy Ward
Type of course
  PhD course with 6 students
How ExtendSim typically is used in the course
  Sequential decision making under uncertainty. ExtendSim will be used to simulate policy performance, especially in cases where the problem is not tractable analytically.

I devoted one course lecture (3 class hours), on Friday April 13, to teaching the students how to use ExtendSim. In this lecture, the students learned how to build the model in the paper by Levent Kocaga and myself, Admission Control for a Multi-Server Queue with Abandonment, in ExtendSim. This was a very nice use of ExtendSim, because we were able to show that the theoretical results and approximations developed in Kocaga and Ward matched the ExtendSim simulations.

The lecture on ExtendSim was given by Dave Krahl of Imagine That Inc. and Robin Clark from QMT Group. Dave and Robin additionally showed the students much more advanced models that could be built using ExtendSim. I asked the students for feedback on this lecture, and they said that they found the lecture very useful.

It was possible for Dave and Robin to give the lecture because they were already in the Los Angeles area for an INFORMS conference. Hence it made sense to arrange for them to give a half-day open ExtendSim session to users in the Los Angeles area, and then another half-day session oriented directly for the students in my IOM 677 course.

The course IOM 677 is intended for PhD students, and there were 6 PhD students enrolled in the course. Part of my inteneded purpose in teaching ExtendSim is that I believe it can be useful for the students as they pursue their PhD research. I have used ExtendSim many times myself in my own research, in order to validate theoretical approximations or test proposed policies, and have been very satisfied. Therefore, I wanted the students to be aware of how they could use this in their own research. Although I did not have a specific homework problem that involved ExtendSim (because simulation is a little off-topic for a Markov Decision Process Course), I feel comfortable that that goal was achieved.

Thank you very much for giving me the opportunity to be an ExtendSim Adopter. I hope to be able to continue this status in the future.

Additionally, ExtendSim has been used in the following course
  Queueing and Stochastic Networks - IOM 674
Prof. Amy Ward
Type of course
  PhD course wtih 9 candidates
How ExtendSim typically is used in the course
  Queueing phenomena that arise in engineering and business systems will be modeled and analyzed in this course. The queueing is generated by resource contention when there is uncertainty.

Early on in the course, I devoted one lecture to the basics of using ExtendSim, and demonstrated to the students how to build a couple basic queueing models in ExtendSim. We then discussed how to estimate performance measures for those models such as the mean time in queue. This allowed me to assign homework problems to the students that required the use of ExtendSim. The problems I assigned were as follows:
  HW #2, Problem 4.
    The students were asked to find the limiting probabilities, and the expected number of customers waiting at each station, for a particular Jackson network configuration. This can be done through exact analytic formula (and that exact analysis was taught in class). The students were then asked to simulate the network using ExtendSim, and to see that their simulation answers matched their analytic answers.
  HW #4, Problem 2.
    The students were asked to develop a heavy-traffic approximation for the mean number of customers in the system for a GI/GI/1 queue, under two different distributional assumptions for the service times that were not exponential. Note that there are no exact analytic formulae for steadystate performance measures for this system, and so the students had to rely on approximation formulae (which we developed in class). The students were then asked to simulate the GI/GI/1 queue using Extend in order to understand the situations in which their approximation formulae performed well.
  HW #4, Problem 3.
    The students were asked to develop a heavy traffic approximation for the mean number of customers at each station in a network that consisted of two GI/GI/1 queues in tandem. Again, there are no exact analytic formulae available and so the students had to rely on approximation formulae. The students were then asked to simulate the network using Extend in order to see how their approximation formulae performed.
Benefits attained through the use of ExtendSim
  I view the use of ExtendSim as very important for the course. In order for the students to truly understand how to develop and use analytic approximation formulae for queueing networks that cannot be analyzed exactly, it is extremely helpful for them to also simulate the network. The simulation allows them to understand how to apply their approximation formulae to estimate performance measures of interest, and to know when there approximation formulae will work well vs when their approximation formulae may not work well. Please also see my Homeworks #2 and #4 for the exact questions referenced above.

I am very appreciative for having the use of ExtendSim for this course. Thank you.

University of Split

University of Split

Faculty of Economics
Department for Information Technology in Business
Split, Croatia

Course ExtendSim used in Adopter since 2014
  Business Process Simulation
Mario Jadric
Type of course
  Masters course with 25-35 students
How ExtendSim typically is used in the course
  ExtendSim was used to demonstrate case studies to our students. Students were presented ExtendSim tool, which they used to deliver business process models for process optimization.

ExtendSim was used for:
  Presentation of the course and planned activities.
  Modeling of complex systems.
  Concept of simulation.
  Approaches to simulation modeling.
  Types of computer simulation.
  The selection of simulation models.
  Business processes and simulation modeling
  Projects of simulation modeling.
  Choosing a process for simulation modeling.
  Theory of waiting queues.
  Distribution of random variable in simulation modeling.
  Discrete event simulation.
  Construction of discrete simulation model.
  Planning simulation experiments.
  Analysis of simulation results.
  Concepts of business process management and simulation modeling.
  The concepts of system dynamics
  Analysis of casual loops.
Student projects
  Discrete event simulation modeling using ExtendSim - exercise series.
  Final case study - real life project realization, modeling as-is and to-be real life processes.
  Business process simulation and optimization, plus bottleneck detection and optimization.
Ease with which students learned to model with ExtendSim
  Students had no difficulties learning how to model with ExtendSim since it is an intuitive yet powerful modelling tool. Also, help and manuals available for the tool are very helpful. Besides, example models are great!
Benefits attained through the use of ExtendSim
  Acquiring basic modelling knowledge as well as Discrete Event Simulation realization for our students. In-depth understanding of simulation and what-if analysis benefits for different industries. Students learned how to design processes, objects, attributes and methodology used in ExtendSim.Showing benefits of designing to-be processes of current business situation, designing as-is situation, performing analysis and designing to-be situation using advanced business process modelling. Performing what-if analysis.

Thumbs up for the great tool, demo examples/use cases as well as help files and exercises!

University of Tennessee - Knoxville

University of Tennessee Knoxville

Haslam College of Business
Department of Business Analytics & Statistics
Knoxville, TN USA

Course ExtendSim used in Adopter since 2011
  Simulation Modeling - BZAN 546
Bogdan Bichescu
Type of course
  Graduate course
How ExtendSim has been used in the course
  BZAN 546 is a graduate class taught in the College of Business Administration at the University of Tennessee and focuses on modeling business processes using discrete-event simulation software. As part of the class, students built simulation models relating to the management of inventories, waiting lines, and various resources, in contexts such as healthcare, retail banking, and manufacturing. Moreover, students used ExtendSim on three homework assignments and one end-of-term class project, which dealt with bus scheduling and routing for a large, on-campus, youth creativity competition. In summary, the use of ExtendSim in the class:
  1 exposed students to an industry-leading discrete-event simulation environment.
  2 demonstrated the application of simulation concepts in an integrated, GUI-driven application environment (including elements of problem abstraction and modeling, sensitivity analysis and experimentation, heuristic optimization, animation and visualization, etc.).
  3 helped students develop an intuitive, visual understanding of system dynamics (in contrast to, for example, formal treatments of resource management in the form of traditional queueing models).
  4 afforded students the ability to easily and quickly perform sensitivity analyses for system improvement.
  5 improved students’ problem solving techniques and their ability to grasp the importance of robustness and flexibility as system design principles.

Additionally, ExtendSim has been used in the following course
  Decision Analytics & Simulation - MS 532
Melissa Bowers & Bogdan Bichescu
How ExtendSim typically is used in the course
  MS 532 is a graduate class taught in the College of Business Administration at the University of Tennessee and the better part of the class curriculum focuses on modeling business processes using discrete-event simulation software. As part of the class, students built simulation models relating to the management of inventories, waiting lines, and various resources, in contexts such as healthcare, retail banking, and manufacturing. Moreover, students used ExtendSim on two homework assignments and one end-of-term class project, which dealt with capacity planning and optimization for a medical device manufacturer. In summary, the use of ExtendSim in the class:
  1 exposed students to an industry-leading discrete-event simulation environment.
  2 demonstrated the application of simulation concepts in an integrated, GUI-driven application environment (including elements of problem abstraction and modeling, sensitivity analysis and experimentation, heuristic optimization, animation and visualization, etc.).
  3 helped students develop an intuitive, visual understanding of system dynamics (in contrast to, for example, formal treatments of resource management in the form of traditional queueing models).
  4 afforded students the ability to easily and quickly perform sensitivity analyses for system improvement.
  5 improved students’ problem solving techniques and their ability to grasp the importance of robustness and flexibility as system design principles.

NewUniversity of Washington

University of WashingtonFoster School of Business
Department of Information Systems & Operations Management

Seattle, WA USA

Course ExtendSim used in Adopter since 2017
  OMGT502: Introduction to Operations Management
Professor Apurva Jain
Type of course
  MBA with approximately 100 students
How ExtendSim will be used in the course
  This evening MBA core course is an introduction to Operations Management that is designed to:
  Prepare students to see the world in terms of flows of work and material
  Provide students with models and concepts to analyze these flows
  Offer students practice in the application of these models to generate improvement ideas
  Motivate students to spot opportunities for such improvements in their workspace
  ExtendSim will be used to:
  Show bottlenecks
  Queueing concepts
  Possibly push vs. pull
Possible ExtendSim use in other courses
  Possibly SCM 513: Operations Management and Process Analysis

University of Wisconsin - Madison

University of Wisconsin

Wisconsin School of Business
Department of Operations & Information Management 
Madison, WI USA

Course ExtendSim used in Adopter since 2013
  Service Operations Management
Prof. Robert Batt
Type of course
  Undergraduate course with 40-54 students
How ExtendSim typically is used in the course
  Extendsim is used to teach basic queuing principles such as the non-linear relationship of utilization and wait time and the benefit of pooled vs. separated servers. The students perform both in class exercises as well larger homework case analysis. We looked at topics such as drivers of queue time, the impact of priorities, and the impact of batching.
Student projects
  From the Harvard Business School publishing we used the following cases: the BAT case, Delwarca Case, and the Benihana case. Plus, a few instructor-created exercises.
Ease with which students learned to model with ExtendSim
  The basics are easy. Some more sophisticated things, such as batching, are more difficult. Some students get it instantly. Some struggle constantly. I don't think the variance is due to the software.
Benefits attained through the use of ExtendSim
  I can teach the students much more complicated concepts (priorities, batching, etc) than I could if I stuck to Little's Law and simple M/M/c type queue equations. Students get to build their own queues and see the various performance metrics change as the students change the parameters and queue flow/design. The students can be set loose to experiment and try different ideas to improve service systems.

Wroclaw University of Technology

Wroclaw University of Technology

Faculty of Computer Science & Management
Department of Operations Research
Wroclaw, Poland

Course ExtendSim used in Adopter since 2010
  Simulation Modeling
Jacek Zabawa
Type of course
  Masters course with approximately 50 students
How ExtendSim typically is used in the course
  This software was used as a primary modeling tool for continuous and discrete event-simulation software. Students build a simple model on their own and work in teams of two to build a model based on assumptions.
Student projects
  It depends on the number of the course hours. During the course of 10 hours, students develop a model based on the assumptions in the form of text using a graphical representation of the model (in the Extendsim notation) and complement the model with the ability to record the results of several runs.

During the course of 15 hours, students develop two models for an evaluation. First, on the basis of the assumptions in the form of text, and using the graphical representation of the model (it is kind of a test designed to realize the student's skill level). Then prepare a complete model based on assumptions and graphical representation other than Extendsim). It is a task carried out in groups of two students.
Ease with which students learned to model with ExtendSim
  Very fine, easy GUI, input and output connectors, easy handling of attributes.
Benefits attained through the use of ExtendSim
  ExtendSim is powerful software in which we can build very complex models, develop our own library of blocks, and it has good integration with external data. We also appreciate its:
  Easy handling of attributes and their processing.
  High correspondence between the model and the structure of the process.
  Hierarchical blocks.

Additionally, ExtendSim has been used in the following course
  Business Modeling and Forecasting
Jacek Zabawa
How ExtendSim typically is used in the course
  I introduced the experiment (a change in the way the classes). At the first session I showed (and students to repeat) how to build a very simple queuing model equipped with the ability to record the results of multiple runs (blocks a write). At the second class I presented high degree of complexity model (service attributes, batching, recurrences of objects). At the third class I presented sets of simple models which implement (separately) service attributes and batching. These models were gradually expanded. Students build simple models and then expanded them. At the next class (in January) will be a single test, performed independently, consisting of self-construction of a simple model based on the assumptions of text. I'll put the suggestions (hints) on the types of blocks that can be used. Before the test I'll do recap material. At the last class students who do not pass the test will be able to fix it. For those who have passed positively I would like to present other advanced capabilities Extendsim, perhaps it will be genetic optimization or sensitivity analysis.

Additionally, ExtendSim was used in the following course
  Financial Analysis of Company Appliations with Models
Jacek Zabawa
How ExtendSim typically was used in the course
  It consisted of a lectures and seminars. During lectures I presented, among others, new edition of complete application in Extendsim allowing construction of financial statements (balance, incomes etc.). As in the previous year we also discussed its modules, such as the calculation of income and expenses for this activity-based costing. We tried to use the models for business game support.

In the seminar portion of the course, students created financial simulation models of selected economic games. Here, the tool was arbitrary, but some groups chose to implement their model in ExtendSim - due to the readability of models created in ExtendSim was particularly didactic.

Preparing for this course inspired Prof. Zabawa to prepare another paper in  to formulate a methodology of modeling assumptions in financial simulations. This methodology is based on the multiplication of objects: one object for "things" and second object for "money". "Integrating discrete event simulation and financial reporting" was accepted for publication and it was presented during the 33rd International Conference Information Systems and Technology Architecture.

I used the previously improved structure of the lecture with several recordings (movies snap) on how to create models. I have presented different models for the problem of "improving equipment" and how to study the impact of such change on the financial statements. As in the previous year, we dealt with economic events "prepayment" and "delay in payment of liabilities and receivables". I also presented the design and calculation techniques of balance statement using yogurt production model that was included in the package ExtendSim.

Conference papers submitted based on Prof. Zabawa's projects
Bozena Mielczarek, Jacek Zabawa. "Modelling Population Growth, Shrinkage and Aging using a Hybrid Simulation Approach: Application to Healthcare". SIMULTECH 2016: 75-83
    Abstract: This paper describes a hybrid simulation model that integrates the System Dynamic approach with discrete time control to formulate the projections of population evolution. The study relies on historical demographic data and the officially formulated scenarios for the most likely population projections developed for the region. The results of the simulation experiments provide valuable insights into dynamics of regional demographic trends and offer a well-defined starting point for future research in the health policy field. The intensity and structure of the demand for healthcare services depend heavily on age-gender profiles that change due to ongoing extensions of the average expected length of life, the aging of population, the continuing trend of declining number of births and the steadily growing number of deaths. The preliminary findings show promise in using the hybrid simulation approach for more advanced exploration of demography dependent health policy issues.
Bozena Mielczarek, Jacek Zabawa. "Modeling Healthcare Demand Using a Hybrid Simulation Approach". Winter Simulation Conference 2016.
    Abstract: This paper describes a hybrid simulation model that uses a system dynamics and discrete event simulation to study the influence of long-term population changes on the demand for healthcare services. A dynamic simulation model implements an aging chain approach to forecast the number of individuals who belong to their respective age-sex cohorts. The demographic parameters that were calculated from a Central Statistical Office Local Data Base were applied to the Wroc?aw Region population from 2002 to 2014, and the basic scenario for the projected trends was adopted for a time horizon from 2015 to 2035. The historical data on hospital admissions were obtained from the Regional Health Fund. A discrete event model generates batches of patients with cardiac diseases and modifies the demand according to the demographic changes that were forecasted by a population model. The results offer a well-defined starting point for future research in the health policy field.
Jacek Zabawa, Edward Radosinski. "Comparison of discrete rate modeling and discrete event simulation. Methodological and performance aspects." Published in Springer's book series: Advances in Intelligent Systems and Computing
Jacek Zabawa. "Discrete rate modeling approach for supply chain modeling" Presented at the Total Logistic Management Conference 2015 and published in the Czasopismo Logistyka journal in 2016.
    Abstract: The paper discusses the basics of modeling inventory management system in a spreadsheet. Then the application of a discrete rate in the supply chain simulation was proposed. Assumptions of test models which utilize DRM was presented. The structure of models and specification requirements was proposed. Selected simulation experiments were performed. The results were analyzed in a specially designed spreadsheet tool. Conclusions and prospects for further research was presented.
Bozena Mielczarek, Jacek Zabawa, and Marek Lubicz. "A System Dynamics Model to Study the Impact of an Age Pyramid on Emergency Demand." In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 879-888, 2014, Vienna, Austria
    Abstract: This paper describes a system dynamics simulation model to analyse the relationship between age pyramid and the volume of patients arriving to hospital emergency departments located in a sub-region of Lower Silesia of Poland. The study relies on demographic and historical demand data, and the cohort forecasts for the population of the region. The results of the simulation experiments provide insights into the relationship between sub-regional demographic trends and population needs in relation to hospital emergency arrivals. The preliminary findings indicate that the forecasted long-term demographic changes in the population may increase the number of emergency patients in the area.

Zurich University of Applied Sciences

ZHAW School of Engineering

School of Engineering
Department of Engineering and Management
Winterthur, Switzerland

Course ExtendSim used in Adopter since 2011
  Simulation of Business Processes
Christoph Heitz
Type of course
  Undergraduate with 27 students
How ExtendSim typically is used in the course
  The course was an introduction to discrete event simulation. Goal of the course was to learn the basic concepts of discrete event simulation then apply them to practical problems. ExtendSim is used as the tool for these applications.

The first four weeks of this course was used for a technical introduction to ExtendSim (libraries: Item, Value, Plotter). For the rest of the course, ExtendSim was used as the workhorse for many applications and exercises that are built around the conceptual concepts taught.
Student projects
  Each week, the students are divided into teams of two or three students who complete a short simulation project. The projects included:
  Backoffice of an insurance company
  Job shop manufacturing
  Scheduling rules
  Auto repair facility
  Buffer optimization in a Kanban system
  After the course, students were able to create quite elaborate models and use most of the functionality of ExtendSim.
Ease with which students learned to model with ExtendSim
  It was very easy to work with the program from the first week on. No big problems arose from the technical side. The main problems that students have when learning to build simulation models are conceptual problems: how to model specific situation of reality? This is not that much related to the tool itself, but rather to thinking in the structures of DE simulation.
Benefits attained through the use of ExtendSim
  A very good aspect of ExtendSim is that the many blocks in the Item library are rather generic in the sense that they represent a typical DE structure (queue, activity, …) in a clear and simple way, without too much fancy distractions around. This helps students to learn thinking in clear concepts. The blocks that allow modeling of logic by means of code are great for putting into consideration more complex situations, and going from simple to complex models without losing the conceptual clarity. The use of a simulation tool is a necessity when teaching simulation and modeling. I have not much experience with other tools, but I feel that ExtendSim is very well suited to teach simulation contexts.

Additionally, ExtendSim used in the following course
  Simulation in Retail and Logistics
Christoph Heitz
Type of course
  Undergraduate with 27 students
How ExtendSim typically is used in the course
  ExtendSim was introduced by a basic course in ExtendSim functionality (item and value library). As running example, we used a blood donation center. Students had the software on their laptops and made exercises. Mixed into the ExtendSim exercises, basic concepts of discrete event simulation were taught. A theoretical block on how to interpret results of stochastic simulations was complemented with ExtendSim exercises.

During the course, students worked with different models, including a skilift and a manufacturing scheduling problem.

The course was a compact course over 2.5 days. The goal of the course was not to make the students professional simulation experts but rather to give them a hands-on experience about what is possible with simulation and how the general approach in modeling works.
Student projects
  During the course, running examples constituted sort of a “small project” framework where students could experience the progress of a simulation project together with learning the concepts. 

Two students used ExtendSim for their master thesis where they created a model by their own, without technical assistance from professor.
Ease with which students learned to model with ExtendSim
  Due to the simple drag & drop facilities in ExtendSim, it was easy for the students to get the basic knowledge for building their own simple models. Given the short time for this course, it was exciting to see how well the two students did who chose to use ExtendSim for their master thesis.
Benefits attained through the use of ExtendSim
  For this course, the best aspect of ExtendSim is the option of putting models together by dragging & dropping blocks from libraries, without the need of programming. Thus, students with little or no programming experience are enabled to use such a tool and get a feeling for simulation. Compared to talking about simulation and the use of simulation for solving problems without the use of a simulation tool, it is much more effective to have a tool at hand that students can play with and thus gain own experiences.