Explaining Discrete Simulation Analysis

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1.00 hour
Online Self Study


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About the Course

Discrete simulation analysis offers a powerful approach for assessing system dynamics and making decisions in complex business environments. This course provides a foundation in scoping, designing, running, and interpreting the two types of discrete simulations—discrete event and multi-agent simulation.

Course Description

This course will provide you with the skills to describe, scope, and manage discrete simulation analysis initiatives. Simulation-based techniques enhance the analytics toolkit with methods for exploring and optimizing complex systems. Lacking the insights of discrete simulation analysis, complex initiatives risk costly design flaws and decision missteps. Adopting discrete simulation techniques empowers analytics professionals with insight into complex systems dynamics.

The course will cover the two main discrete simulation techniques—discrete event simulation (DES) and multi-agent simulation (MAS). These two approaches are powerful techniques for gaining deep insight into dynamic physical and informational systems. DES allows for event-based systems analysis, which is useful for optimizing complex logistical systems such as those involved with manufacturing, shipping, logistics, and customer service. MAS is a technique for modeling complex systems and phenomena where individual agents interact freely based on rules and games. Through this technique, the emergence of unanticipated behavior can be observed. Applications of MAS include understanding epidemics, designing customer service centers, observing market dynamics, tracing viral marketing, modeling crowd behavior, demonstrating economic forces, and designing highly complex transport networks.

This course will follow the fictional consumer electronics company, eWidget, as the COO, Chuck O’Connor, scopes and applies discrete simulation approaches to improve the company’s decision making. eWidget is working to design a state-of-the-art logistics facility and applies DES to aid in design. eWidget is also working on a shop floor layout for a new chain of retail stores and applies MAS to understand how to optimize the experience of shoppers.

Learning Objectives

After completing this course, you should be able to:

  • Define discrete simulation analysis.
  • Identify how to apply discrete event simulations (DES).
  • Identify how to apply multi-agent simulations (MAS).
  • Determine how to manage discrete simulation in an organization over time.