Intermediate Dynamic Modeling I surveys the most important advanced model disaggregation techniques – the ones that cause many people to throw their hands up in frustration due to lack of direction or clear understanding.

Join Dr. Karim Chichakly as he guides you, step by step, through some of the key components in the process of effective model creation. During each 55-minute class, you'll learn the ins and outs of model creation as he shares his personal workflow and additional tips and tricks that he’s learned in more than 20 years of experience in the field.

Each class is followed with a question and answer session with Dr. Chichakly. Online access to these class recordings, sample models, handouts, and homework assignments are included to cement your learning.

Course Overview

Class 1: Introduction to Arrays

Arrays provide a way to reuse the same model structure for many related processes. This class will focus on the underlying concepts and types of arrays, as well as the syntax and builtin functions needed to make effective use of them.

Class 2: Application of Arrays

Now that you’re comfortable creating arrays and writing equations for them, we’ll explore more sophisticated applications of arrays, in business and in science. A number of the presented models are suitable starting points for more complex modeling projects.

Class 3: Discrete Event Simulation

While we've so far focused on continuous models, sometimes you need to include discrete elements. We will explore when to use conveyors, queues, and ovens, important elements for process improvement initiatives. Cycle time and attribute tracking will also be introduced.

Class 4: Agent-Based Modeling and Modules

Using arrays, we'll explore how to build agent-based models. Modules, which provide a general mechanism to both organize and reuse model structure, will also be introduced and integrated into the modeling process. For small numbers of agents, modules can be used to represent agents.