Course Description

Process updates, innovation implementation usually interrupt existing projects and cause delays, although they are there to remove them, this causes frustration and difficulty in implementation. On other hand, not implementing innovation, reducing research and not updating processes, threatens sustainable profitability. Agent Based Simulation modeling ensures effective change implementation by enabling analysis, optimization, and experimentation in an environment that can fully capture the details of operations in risk free environment, companies can implement and analyze changes without interruption in production, the problems and risks can be identified and addressed in the beginning of the project, before they appear in real life implementation.

What you'll learn in this course?

• Learn the optimization techniques and tools

• Understand the differences between Agent-based, system dynamic, and discrete event modeling

• Realize the potential of multi-method simulation approach