Agent-Based Optimization for Product Family Design
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.
R. Rai and V. Allada, "Agent-Based Optimization for Product Family Design," Annals of Operations Research, Springer Verlag, Mar 2006.
The definitive version is available at http://dx.doi.org/10.1007/s10479-006-7378-x
Engineering Management and Systems Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Agent-Based Optimization; Product Family; Quality Loss Function
Article - Journal
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