Modeling and Simulation Course

This 3-day simulation course is designed for operations research analysts, systems and industrial engineers, military planners, 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, healthcare, transportation, supply chains, communications networks, process reengineering, call centers, services, mining, inventory control, and financial analyses. The course presents definitive methods for developing a simulation model, ensuring its validity, choosing simulation software, selecting input-probability distributions, designing and analyzing simulation experiments, and project management. A case study illustrates the step-by-step application of simulation-modeling techniques. Students will have an opportunity to analyze simulation input and output data in class using Excel and ExpertFit. The prerequisite for this seminar is a course on probability and statistics, or the equivalent. An overview of current “hot” topics in simulation modeling such as digital twins and cloud computing will be also be presented.

This is one of the world’s most-successful continuing education courses, having been presented more than 500 times in 20 countries on 6 continents. See the unparalleled testimonials for this course. 

Outline

Each Attendee Will Receive the Following:

  • The book Simulation Modeling and Analysis (6th Edition, McGraw-Hill, 2024) by Averill M. Law – widely considered to be the “bible” of simulation with more than 171,000 copies sold and 25,800 citations
  • A certificate of completion that is personally signed by the instructor

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

  1. Designing and Optimizing Systems via Simulation Modeling
  2. Selecting Simulation Software
  3. Building Valid, Credible, and Appropriately Detailed Simulation Models
  4. Modeling Randomness in Real-World Systems
  5. Designing and Analyzing Simulation Experiments
  6. Case Study
  7. 23 Critical Pitfalls in Simulation Modeling and How to Avoid Them
  8. Introduction to Digital Twins and Cloud Computing

Critical Questions That the Seminar Will Answer:

  • What is a definitive overall approach for conducting a simulation study?
  • What is the best simulation software for your application?
  • How do you decide on an appropriate level of model detail?
  • What are the most-important techniques for ensuring model validity and credibility?
  • How can you accurately model the randomness in your system?
  • How can you determine the correct length of a simulation run and the required number of independent model replications?
  • What are 23 critical pitfalls that can sabotage your simulation project and how can they be avoided?
  • What are digital twins and cloud computing and how can they benefit your organization?