SIMUTools2010

3rd International ICST Conference on Simulation Tools and Techniques

Torremolinos, Malaga, Spain - March 15-19 2010

Hands-on tutorial on supply chain optimization

In this tutorial, we investigate techniques to improve supply chain performance using system dynamics modeling and a genetic algorithm to develop robust and capable strategies to reduce overall cost and maximize deliveries. Using the Beer Game as the reference scenario, we show how performance can be greatly enhanced with minor changes to a few key points of the supply chain. This avoids the typical situation of sub-optimizing the entire chain because of the isolated decisions of only a couple of companies in the chain. Participants will try their hands at running a system dynamics-based supply chain model to see if they can improve the project performance over the poor baseline performance. We will begin with a basic model similar to the basic Beer Game model, and then grow in complexity to a supply chain with 15-20 entities. Attendants to the tutorial must bring a laptop running Windows XP (or later) with Windows .NET 3.5 installed.

Lecturers:

J. Chris White: B.S. in Aerospace Engineering from the MIT and M.S. in Engineering Management from the University of Michigan. He is a Six Sigma Lean Master Black Belt (MBB).
Dr. Jeffrey Ridder: B.S., M.S., and Ph.D. degrees in Aerospace Engineering from the University of Illinois at Urbana-Champaign. He has over 15 years of experience in modeling, simulation, analysis, and advanced algorithm development.
Robert Sholtes: B.S. in Aeronautical and Astronautical Engineering from the University of Illinois at Urbana/Champaign and M.S. in Engineering and Public Policy from Washington University in St. Louis. He has over 25 years experience in software development and distributed simulation solutions.

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