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Using DEA and GA Algorithm for Finding an Optimal Design Chain Partner Combination

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Global Perspective for Competitive Enterprise, Economy and Ecology

Part of the book series: Advanced Concurrent Engineering ((ACENG))

Abstract

To assist enterprises in building the optimal design chain partner combination, this research focuses on the development of a weight restricted DEA model, in which appropriate design chain partners are evaluated and selected according to different partner roles, and appropriate partner sets are formed correspondingly. As product development time and costs depend closely on coordination efficiency among different design chain partner members, this study takes this factor into account by developing a multi-objective design chain partner combination evaluation and selection model. This study uses multiobjective genetic algorithm (MOGA) to search for the optimal design chain partner combination in order to achieve the objective of minimized new product development costs and time in conjunction with maximized product reliability.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Management, National Taipei University of Technology, 106, Taipei, Taiwan, Province of China

    Chih-Ling Chuang

  2. Department of Commerce Automation and Management, National Pingtung Institute of Commerce, 900, Pingtung, Taiwan, Province of China

    Tzu-An Chiang, Z. H. Che & H. S. Wang

Authors
  1. Chih-Ling Chuang
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  2. Tzu-An Chiang
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  3. Z. H. Che
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  4. H. S. Wang
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Corresponding author

Correspondence to Tzu-An Chiang .

Editor information

Editors and Affiliations

  1. Department of Industrial Management, National Taiwan University of Science and Technology (NTUST), 43 Keelung Road, Section 4, 106, Taipei, Taiwan, Province of China

    Shuo-Yan Chou

  2. Department of Industrial Engineering and Management, National Taipei University of Technology, No.1, Section 3, Chung-Hsiao E. Road, 106, Taipei, Taiwan, Province of China

    Amy Trappey

  3. Inst. Machine Design Fundamentals, Warsaw University of Technology, Narbutta 84, 02-524, Warszawa, Poland

    Jerzy Pokojski

  4. Department of Mechanical Engineering, National Taiwan University, 1 Roosevelt Road, Section 4, 106, Taipei, Taiwan, Province of China

    Shana Smith

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© 2009 Springer London

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Chuang, CL., Chiang, TA., Che, Z., Wang, H. (2009). Using DEA and GA Algorithm for Finding an Optimal Design Chain Partner Combination. In: Chou, SY., Trappey, A., Pokojski, J., Smith, S. (eds) Global Perspective for Competitive Enterprise, Economy and Ecology. Advanced Concurrent Engineering. Springer, London. https://doi.org/10.1007/978-1-84882-762-2_11

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  • DOI: https://doi.org/10.1007/978-1-84882-762-2_11

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-761-5

  • Online ISBN: 978-1-84882-762-2

  • eBook Packages: EngineeringEngineering (R0)

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