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Supply chain network design: partner selection and production/distribution planning using a systematic model

Author

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  • D Y Sha

    (National Chiao Tung University)

  • Z H Che

    (National Chiao Tung University
    Ming-Chi University of Technology)

Abstract

In this paper, a novel multi-phase mathematical approach is presented for the design of a complex supply chain network. From the point of network design, customer demands, and for maximum overall utility, the important issues are to find suitable and quality companies, and to decide upon an appropriate production/distribution strategy. The proposed approach is based on the genetic algorithm (GA), the analytical hierarchy process (AHP), and the multi-attribute utility theory (MAUT) to satisfy simultaneously the preferences of the suppliers and the customers at each level in the network. A case study with a good quality solution is provided to confirm the efficiency and effectiveness of the proposed approach. Finally, to demonstrate the performance of the proposed approach, a comparative numerical experiment is performed by using the proposed approach and the common single-phase genetic algorithm (SGA). Empirical analysis results demonstrate that the proposed approach can outperform the SGA in partner selection and production/distribution planning for network design.

Suggested Citation

  • D Y Sha & Z H Che, 2006. "Supply chain network design: partner selection and production/distribution planning using a systematic model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(1), pages 52-62, January.
    • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:1:d:10.1057_palgrave.jors.2601949
    DOI: 10.1057/palgrave.jors.2601949
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    References listed on IDEAS

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    Cited by:

    1. P Leskinen, 2008. "Numerical scaling of ratio scale utilities in multi-criteria decision analysis with geometric model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 407-415, March.
    2. Wang, H.S., 2009. "A two-phase ant colony algorithm for multi-echelon defective supply chain network design," European Journal of Operational Research, Elsevier, vol. 192(1), pages 243-252, January.
    3. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Influence of aggregation and measurement scale on ranking a compromise alternative in AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 700-710, April.
    4. R Farzipoor Saen, 2009. "Supplier selection by the pair of nondiscretionary factors-imprecise data envelopment analysis models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1575-1582, November.
    5. Saen, Reza Farzipoor, 2007. "Suppliers selection in the presence of both cardinal and ordinal data," European Journal of Operational Research, Elsevier, vol. 183(2), pages 741-747, December.
    6. Mariagrazia Dotoli & Nicola Epicoco & Marco Falagario, 2017. "A fuzzy technique for supply chain network design with quantity discounts," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1862-1884, April.
    7. Z.H. Che, 2012. "A hybrid algorithm for fuzzy clustering," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 6(1), pages 50-67.

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