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Global Product Family Design: Simultaneous Optimal Design of Module Commonalization and Supply Chain Configuration

Chapter

Abstract

Global product family design is the problem in which product variants and supply chain configuration are simultaneously designed. It has become a significant concern of manufacturing industries under globalization. In this chapter, simultaneous design of module commonalization and supply chain configuration is formulated as a multi-objective mixed-integer programming problem under the criteria on quality, cost, and delivery. Then, an optimization algorithm for obtaining Pareto optimal solutions is configured by using a neighborhood cultivation genetic algorithm and simplex method, and a clustering technique of such Pareto solutions is introduced with a principal component analysis method for investigating the optimality and compromise in global product family design. Finally, some numerical case studies are demonstrated.

Keywords

Lead Time Pareto Optimal Solution Product Family Module Production Product Production 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

The author acknowledges that computer programming and computation of optimization examples were done by Ken Nasu, who was formerly a graduate student of Osaka University, and Yuma Ito, who is currently a graduate student of Osaka University.

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Mechanical Engineering, Graduate School of EngineeringOsaka UniversitySuita, OsakaJapan

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