ExtendSim Certified Consultant Decision Logic, Australia offers a tailored interactive workshop where your people solve one of your live problems led by an analytical simulation expert.

	Where	In-house or location by arrangement
	When	Scheduled at your convenience
	Attendance	Between 1 and 5 attendees
	Duration	2 to 5 Days (based on your need)
	Price	$600 Inc. GST per student per day
	Prerequisites	Basic ExtendSim course or equivalent knowledge

There is no set curriculum for this course. It has been designed as a highly interactive and participative Master Class is to equip attendees with more advanced skills in ExtendSim.

The ExtendSim Analytical Simulation Master Class is for anyone who has a basic knowledge of ExtendSim and is wanting to improve their modelling skills while building a solution to one of their organizations current problems as they learn.

http://decisionlogic.com.au

The Society of Manufacturing Engineers sponsors webinars that are typically hosted by one or more of their Technical Community Network (TCN) tech groups, technical events, and/or professional development. Webinars help SME fulfill its mission, which is to acquire and distribute manufacturing knowledge among its members and the broader manufacturing community.

Lean manufacturing seminars are presented at various times throughout the year.

http://www.sme.org/cgi-bin/getsmepg.pl?/html/webinars/lean.htm&&&SME&

Norrköping, Sweden

The PaperFront module for ExtendSim is ready for use! A tool already proven successful by a number of customers. Paperfront consists of up to 100 blocks custom ExtendSim blocks, including both quantitative and qualitative components. PaperFront handles both energy and material balances as well as stock handling and papermachine modeling.

This two day education in the usage of PaperFront is designed for both new and existing PaperFront customers. You will learn:

Day 1
	Simulate a fibre line
	Simulate a papermachine
	Simulate a multi-ply machine
	Simulate different qualities and grammages by using PaperFront's versatile scenario handler
	Evaluate different runs swiftly and promptly
	Fractionate
Day 2
	Find bottlenecks
	Find energy thiefs
	Control your model via the PaperFront graph reader
	Select data from the database
	Define customized input fields
	Build hierarchical blocks with custom animation
	Work with self-programmed blocks

On day one of this seminar, PaperFront plus ExtendSim LT-RunTime will be installed on your laptop as a 180 day free evaluation copy with model-building capability of up to 75 blocks. Plus, you will get 8 hours of free support for the PaperFront module. After the evaluation period, we can present you with a beneficial offer for further use of the software that will be tailor made according to future needs.

The cost for this two day education, including software, is €750, 25% VAT to be added in Sweden. Enrollment is limited to six participants. During the lectures, lunches and coffee breaks will be arranged.

You must sign up by the 17th of March, 2010.

Call +46 8 55922148 to register.

Washington, DC USA

This course, Simulation Modeling for System Design and Analysis I: Fundamental Principles, is designed for operations research analysts, management scientists, systems analysts, military planners, engineers, computer scientists, and technical managers who would like to use simulation to design and optimize real-world systems. It encompasses a full spectrum of applications, including defense,
manufacturing, transportation, process reengineering, contact centers, supply chains, computer and communications systems, healthcare, and services. The course presents definitive methods for developing a simulation model, ensuring its validity, choosing simulation software, selecting input probability distributions, analyzing simulation runs, and project management. A case study illustrates the step-by-step application of simulation modeling techniques.

The prerequisite for this seminar is a basic course in statistics, or the equivalent.

Washington, DC USA

This course, Simulation Modeling for System Design and Analysis II: Advanced Concepts, will discuss practical and easy-to-understand statistical techniques for comparing alternative system designs, variance-reduction techniques for obtaining more precise simulation results for the same amount of computing, the use of experimental design techniques to determine important system factors, and simulation-based optimization. The course will also present an introduction to agent-based simulation, which is arguably the "hottest" topic in simulation modeling today. All topics will be illustrated by one or more examples or case studies.

The prerequisite for this seminar is the "Fundamental Principles" course, or the equivalent knowledge.

Washington, DC USA

Statistics is undoubtedly one of the most valuable of all disciplines, since virtually all organizations have data from which inferences must be drawn. In this course, Applied Statistics for Engineers and Scientists, you will learn the fundamental concepts (descriptive statistics, confidence intervals, hypothesis tests, regression, etc.) and be able to apply them immediately to the problems that you encounter on the job. This will be accomplished by the extensive use of intuition, graphical plots, and real-world examples. Whether you are new to statistics or are looking for a refresher course, you will find this seminar a great way to get up to speed quickly in a cost-effective manner.

Washington, DC USA

The purpose of this one-day seminar, How to Validate your Models and Simulations, is to present a comprehensive discussion of practical techniques for validating your models and simulations. All techniques will be illustrated by one or more examples based on actual simulation projects. At the end of the seminar, each attendee will be familiar with "the" twelve fundamental validation techniques and know how to apply them to their models and simulations.

A particular highlight of this seminar is the discussion and illustration of an assumptions document, which is a detailed report delineating all model concepts, assumptions, algorithms, and data summaries. It serves as the main vehicle for communications among the project team, and it is a "blueprint" for creating the simulation computer program. It should not be confused with a conceptual model, which can be thought of as initial ideas on what a model will look like.

Washington, DC USA

Discrete-event and agent-based simulation models often have many input factors, and determining which ones have a significant impact on performance measures (responses) of interest can be a truly daunting task. The common approach of changing one factor at a time is statistically inefficient and, more importantly, is very often just incorrect, because for many models factors interact to impact on the responses. In this seminar, Design of Experiments for Simulation Modeling, we present a comprehensive introduction to design of experiments (DOE), whose major goal in simulation modeling is to determine which factors have the greatest effect on the responses , and to do so with the least amount of simulating. Another important use of DOE is to develop a metamodel (a model of a model) or response surface based on the important factors to predict the model responses for factor combinations that were not actually simulated, since the execution time for the simulation model might be large.

Discrete-event and agent-based simulation models often have many input factors, and determining which ones have a significant impact on performance measures (responses) of interest can be a truly daunting task. The common approach of changing one factor at a time is statistically inefficient and, more importantly, is very often just incorrect, because for many models factors interact to impact on the responses. This seminar, Design of Experiments for Simulation Modeling, presents a comprehensive introduction to design of experiments (DOE) specifically for simulation modeling, whose major goal is to determine which factors have the greatest effect on the responses, and to do so with the least amount of simulating. Other important uses of DOE are to develop a response surface (or metamodel) based on the important factors to predict the model response for factor combinations that were not actually simulated or to find the factor-level combination that optimizes the simulation response.

A simple and widely applicable approach to performing DOE in the context of simulation modeling is discussed, whereas commonly used methods based on classical statistics (i.e., ANOVA) make unrealistic assumptions such as constant variances and normally distributed residuals. Furthermore, the common remedy of transforming the data often does not work either. Important DOE techniques will be demonstrated using a leading statistical package.

Washington, DC USA

This one-day seminar, Agent-Based Simulation: A New Approach to Systems Modeling, provides a comprehensive introduction to agent-based simulation. In an agent-based simulation, autonomous agents (people, vehicles, organizations, etc.), which have attributes and potentially complex behaviors, interact with each other and their environment over time toward the accomplishment of their goals. This allows an agent's behavior to depend on the current and past states of its environment, rather than being "scripted," which permits much more complicated behaviors to be represented as compared to traditional models. The interactions of the "low-level" agents often result in complex emergent behavior for the system as a whole.

Agent-based simulation has been successfully applied to a diverse set of problems, and improved software packages have facilitated the model-development process.

Tucson, AZ

Averill M. Law & Associates has offered comprehensive modeling and simulation seminars since 1977, having presented more than 440 courses in 18 countries. Public and onsite seminars include:

	Simulation Modeling for System Design and Analysis, I: Fundamental Principles
	Simulation Modeling for System Design and Analysis, II: Advanced Concepts
	How to Build Valid and Credible Models
	Agent-Based Simulation: A New Approach to Systems Modeling
	Design of Experiments For Simulation Modeling
	Simulation Modeling for Military Decision-Makers