Assessing variable levels of platform commonality within a product family using a multi objective genetic algorithm

Timothy W. Simpson, Brayan D'Souza

Research output: Contribution to conferencePaperpeer-review

35 Scopus citations

Abstract

Multiobjective optimization is experiencing new found use in the field of product family design to help resolve the inherent tradeoff between commonality and distinctiveness: designers must carefully balance the commonality of the products in the family with the individual performance (i.e., distinctiveness) of each product in the family. After discussing the uses of multiobjective optimization in product family design and the limitations of current approaches, we introduce a genetic algorithm-based approach for product family design that has been developed to overcome these challenges. The proposed genetic algorithm is capable of simultaneously designing the product platform and its corresponding family of products while considering varying levels of platform commonality within the product family. The effectiveness of the proposed approach is demonstrated through the design of a family of General Aviation aircraft and comparison against previous results. The impact of seeding the proposed genetic algorithm with two product families, one with all products common and one with all products unique, is studied and shown to yield a richer Pareto set in fewer generations for the product family.

Original languageEnglish (US)
StatePublished - 2002
Event9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization 2002 - Atlanta, GA, United States
Duration: Sep 4 2002Sep 6 2002

Other

Other9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization 2002
CountryUnited States
CityAtlanta, GA
Period9/4/029/6/02

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Mechanical Engineering

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