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Third
party vendors offer seminars that can help get and keep you on
track.
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Ongoing |
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| ExtendSim Analytical Simulation Master Class |
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Ongoing |
New March
4, 2010 |
| Lean Manufacturing Webinars |
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&
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April 7 & 8, 2010 |
Updated
February 25, 2010 |
| Education in PaperFront |
Norrköping,
Sweden |
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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 |
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Simulate a fibre line |
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Simulate a papermachine |
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Simulate a multi-ply machine |
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Simulate different qualities and grammages by using PaperFront's
versatile scenario handler |
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Evaluate different runs swiftly and promptly |
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Fractionate |
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| Day 2 |
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Find bottlenecks |
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Find energy thiefs |
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Control your model via the PaperFront graph reader |
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Select data from the database |
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Define customized input fields |
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Build hierarchical blocks with custom animation |
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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.
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April 12 to 14, 2010 |
Simulation Modeling for System Design
and Analysis I:
Fundamental Principles |
Washington,
DC USA |
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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.
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April 15 to 16, 2010 |
Simulation Modeling for System Design
and Analysis II:
Advanced Concepts |
Washington,
DC
USA |
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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.
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May 3 to 6, 2010 |
| Applied Statistics for Engineers
and Scientists |
Washington,
DC USA |
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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.
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May 17 to 18, 2010 |
| How to Validate your Models and Simulations |
Washington,
DC USA |
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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.
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May 19 to 20, 2010 |
| Design of Experiments for Simulation
Modeling |
Washington,
DC USA |
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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.
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May 21, 2010 |
| Agent-Based Simulation: A New Approach
to Systems Modeling |
Washington,
DC USA |
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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.
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Ongoing |
| Averill Law & Associates Simulation
Seminars |
| Tucson, AZ |
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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:
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