Title

When Optimal Isn’t Optimal

Streaming Media

Document Type

Video

Publication Date

4-16-2020

Keywords

Complex systems, complexity theory, network systems, complex networks, tipping points, optimization and multiple criteria decision analysis

Abstract

Whether you’re an operations manager, a financial executive, an engineer, or an analyst, chances are you’ve been taught to optimize the outcomes of your decisions. And taken in a vacuum, that makes a good deal of sense. But as the new discipline of complex adaptive networks shows, in our heavily interconnected, interdependent world optimizing can introduce hidden vulnerabilities to surprisingly expensive failures. In this webinar we’ll discuss examples of such failures and identify conditions for which a satisfactory but not optimal solution is the best approach overall.

Comments

Dr. Robin Burk, MSOM Instructor


Karin Hickenbotham, MSOM Program Manager


MSOM Lunch and Learn Webinar Series

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