Agent-based optimization for product family design

Rahul Rai and Venkat Allada ()

Annals of Operations Research, 2006, vol. 143, issue 1, 147-156

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. Copyright Springer Science + Business Media, Inc. 2006

Keywords: Product family; Agent-based optimization; Quality loss function (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1007/s10479-006-7378-x

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