Course Objectives include:

• Learn techniques for modeling and simulating discrete-event systems.
• To provide an understanding of why good statistics are critical to effective decision making.
• Use this knowledge to build models that will help solve practical problems.
• Applications of discrete event simulation methods to queuing, inventory control, and production planning problems.
• Learn the basics of the SIMIO
• – Simulation system Topical Outline:
• 1: Introduction to Simulation Modeling Systems and Models Discrete Event System Simulation
• 2: Simulation Examples Simulating a Single-Server Queue
• 3: Concepts in Discrete Event Simulation Elements of Discrete Event Simulation Examples of DES Models
• 4: Review statistical concepts Discrete and Continuous Distributions Confidence intervals
• Hypothesis Testing
• 5: Input Modeling and Data Collection Identifying the Distribution with the Data Parameter Estimation Goodness of Fit Tests

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