Prerequisites
An undergraduate course on probability and/or statistics or graduate standing
Student Learning Objectives
Upon successful completion of this course, students shall be able to:
- Identify engineering problems related to the efficient production of goods and services.
- Measure, evaluate and improve production processes and systems to produce goods and services.
- Design efficient production processes and systems to produce goods and services.
- Communicate effectively in a professional role with specific capability to write technical reports and presents results effectively.
Course Description
This course introduces discrete event simulation (through Arena) and how it is applied to dynamic systems. Discrete event simulation concepts such as entities, resources, and event chains are introduced. Systems will be simulated considering time (such as work schedules, machine/human performance), space (such as process layout) and resource (such as manpower, equipment) characteristics of process. In doing that, the course covers a variety of Arena features and building blocks. The course will also introduce time studies, and distribution fitting.