Systems Simulation
Simulation is a process of designing and creating computerized models of real or proposed systems for the purpose of conduction numerical experiments to understand and analyze the behavior of the system for a given set of conditions. The course introduces various simulation modeling techniques, using Arena simulation software.
IE58000
Credit Hours:
3Learning Objective:
To be able to build simulation models for evaluating behaviors of alternative designs (layout/capacity/decision policy) in various applications such as manufacturing, service, and information systems.Description:
Simulation is a process of designing and creating a computerized model of a real or proposed system for conducting numerical experiments to understand and analyze the behavior of that system for a given set of conditions. Simulation has been consistently reported as the most popular operations research tool. The main reason for simulation's popularity is its ability to deal with very complicated systems. The course introduces various simulation modeling techniques with emphasis on applications, using Arena simulation software.
Topics Covered:
Simulation overview and concepts, Arena basics and structure, Basic modules, Intermediate modules, Advanced modules, Input analyzer, Process analyzer, Output analyzer, OptQuest.
Prerequisites:
Basic statistics and basic programming skills.Applied / Theory:
80 / 20Web Address:
https://mycourses.purdue.edu/Web Content:
Syllabus, grades, lecture notes, homework assignments, and solutions.Homework:
Roughly 3 assignments.Projects:
The term project will be conducted as s team composed of a mix of on- and off-campus students. The project could be for real-life problems that the off-campus students are facing in their work.Exams:
Two midterm exams and a final exam.Textbooks:
Optional:
W. David Kelton, Randal P. Sadaowski, and Nancy Swets, "Simulation with Arena" 6th Ed, McGraw Hill, 2015
Computer Requirements:
Arena 15.1 - free downloadable here.