Agent-based optimization for product family design |
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| Authors: | Rahul Rai Venkat Allada |
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| Institution: | (1) Mechanical Engineering Department, University of Texas—Austin, Austin, USA;(2) Engineering Management & Systems Engineering Department, University of Missouri-Rolla, Rolla, USA |
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| 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. |
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| Keywords: | Product family Agent-based optimization Quality loss function |
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