Systems Modeling and Optimization with Arena Simulation

Efficient system design requires testing processes before implementing them in the real world. This text-based course introduces you to the fundamentals of system simulation using Arena, helping you model workflows, identify bottlenecks, and optimize performance. You will transition from understanding basic queuing theory to building structured simulation models of manufacturing, service, and logistics systems. Through comprehensive written explanations and structured walkthroughs, you will learn to analyze input data, configure model logic, and interpret simulation results for decision-making. What you'll learn: Understand the foundational concepts of discrete-event simulation and queuing theory; Configure basic Arena modules to model entity flows, resources, and queues; Analyze input data using statistical distributions to ensure model accuracy; Model complex system behaviors using advanced routing, scheduling, and resource constraints; Conduct output analysis to identify system bottlenecks and evaluate performance metrics; Apply optimization techniques to find the most efficient resource allocation for your systems. The course begins with essential simulation terminology and statistical foundations before guiding you through step-by-step model construction. You will progress from simple single-server queues to multi-process systems, learning how to interpret data reports and run optimization scenarios. Designed for beginners, industrial engineering students, and operations analysts with no prior simulation experience. Start reading today to master the principles of system simulation and process optimization.