Advanced Modeling and Simulation COURSE

This simulation course will discuss practical and easy-to-understand statistical techniques for comparing alternative system designs, the use of AI/machine learning to develop and analyze simulation models, experimental design techniques to determine important system factors, agent-based simulation, simulation-based optimization, and digital twins. All topics will be illustrated by one or more examples. The course can have two formats: (1) A two-day continuation of the “Fundamental Principles” course or (2) a stand-alone three-day course that presents a comprehensive treatment of all advanced simulation techniques. Each attendee who is taking this seminar as a stand-alone course will receive a copy of the book Simulation Modeling and Analysis (6th Edition, McGraw-Hill, 2024) by Averill Law – this book is widely considered to be the “bible” of simulation with more than 25,800 citations. The prerequisite for this seminar is the “Fundamental Principles” course or equivalent knowledge, particularly, for the topic “Designing and Analyzing Simulation Experiments.”

Onsite versions of this seminar have been given for organizations such as AT&T (Saudi Arabia), Australian Department of Defence, Boeing, IBM (Belgium), Logistics Management Institute, Northrop Grumman, Norwegian Defence Research Establishment, Sandia National Labs, U.S. Air Force, U.S. Army, U.S. Forces Korea, and U.S. Navy.

Outline

What You Will Learn (look to the right for more detail):

  1. Advanced Techniques for Simulation Output-Data Analysis
  2. Comparing Alternative System Designs
  3. Impact of AI/Machine Learning on Simulation Modeling
  4. Design of Experiments for Simulation Modeling
  5. Agent-Based Simulation
  6. Simulation-Based Optimization
  7. Detailed Discussion of Digital Twins