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.
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.
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.