Article
Agent-Based Optimization for Product Family Design
Annals of Operations Research
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.
Publication Date
3-1-2006
Publication Date
01 Mar 2006
Citation Information
Rahul Rai and Venkat Allada. "Agent-Based Optimization for Product Family Design" Annals of Operations Research (2006) ISSN: 0254-5330 Available at: http://works.bepress.com/venkat-allada/1/