Learning Objective:After taking the course, students should 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.
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.
Fall 2020 Syllabus
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 / 20
Web Content:Syllabus, grades, lecture notes, homework assignments, and solutions.
Homework:Approximately 5 homework assignments. To be submitted via Blackboard.
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:Official textbook information is now listed in the Schedule of Classes. NOTE: Textbook information is subject to be changed at any time at the discretion of the faculty member. If you have questions or concerns please contact the academic department.
Optional - "Simulation with Arena", 5th ed. by W. David Kelton, Randall P. Sadaowski, Nancy Swets. For software of contents of book: http://highered.mcgraw-hill.com/sites/0073376280.