Title

Agent-Based Optimization for Product Family Design

Abstract

This paper presents a two-step approach to determine the optimal platform level for a selected set of product families and their variants. The first step employs a multi-objective optimization using an agent-based framework to determine the Pareto-design solutions for a given set of modules. The second step performs a post optimization analysis that includes application of the quality loss function (QLF) to determine the optimal platform level. The post optimization analysis yields the optimal platform level for a related set of product families and their variants. We demonstrate the working of the proposed method by using an example problem.

Department(s)

Engineering Management and Systems Engineering

Sponsor(s)

National Science Foundation (U.S.)

Keywords and Phrases

Agent-Based Optimization; Product Family; Quality Loss Function

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2006 Springer Verlag, All rights reserved.


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