Onsite Courses

This simulation course is for operations research analysts and systems & industrial engineers who would like to use simulation to design and optimize real-world systems. It presents methods for developing a simulation model, ensuring its validity, choosing simulation software, selecting input probability distributions, analyzing simulation runs, and project management. The importance of current “hot” topics in simulation modeling such as AI/machine learning, digital twins, and simulation-specific cloud computing will be carefully explained.

This simulation course discusses practical statistical techniques for comparing alternative system designs, the use of AI/machine learning to develop and analyze simulation models, experimental design techniques for determining important system factors, agent-based simulation, and simulation-based optimization.

Simulation models often have many input factors and determining which ones are really important can be quite difficult. We give a comprehensive presentation of design of experiments specifically for simulation modeling, whose major goal is to determine which factors have the greatest effect on the responses. We also discuss how to develop a surrogate for a simulation model that can be used to predict the model response in real time.

This course provides a comprehensive discussion of agent-based simulation, where autonomous agents interact with each other and their environment over time. This allows for the modeling of complex system behaviors that would be quite difficult using traditional discrete-event simulation. The course includes animated examples in application areas such as defense, supply chains/logistics, epidemiology, facility evacuations, ecology, and market behavior.

Simulation models are a surrogate for physical experimentation with a system, which is usually not cost-effective, disruptive, or simply impossible. Thus, if the model is not “valid,” any conclusions drawn from the model results are likely to be erroneous. In this seminar all major validation techniques are discussed and illustrated by examples based on actual simulation projects.

This one-day seminar provides a comprehensive introduction to discrete-event simulation, agent-based simulation, and system dynamics, and when to use each. For each type we discuss typical application areas and recommended software packages, and also situations where several types might advantageously be used together in one composite model. Numerous simulation models will be discussed and demonstrated.

This simulation course is designed for military decision-makers and analysts who would like to understand the nature of simulation and how it can be used to design and optimize their systems. The fundamental responsibilities of the decision-maker for simulation-project success are also discussed.

This course discusses 23 fundamental pitfalls that can cause your simulation study to end in failure. They are taken from the approximately 50 simulation studies that were performed by the author and, also, from the experiences of the 7000 to 8000 practitioners who attended his live simulation short courses. There is no course offered by Dr. Law that will give you a greater “bang for the buck.”