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A weight-consistent model for fuzzy supplier selection and order allocation problem

Author

Listed:
  • Sirin Suprasongsin

    (Thammasat University
    Japan Advanced Institute of Science and Technology)

  • Pisal Yenradee

    (Thammasat University)

  • Van-Nam Huynh

    (Japan Advanced Institute of Science and Technology)

Abstract

Decision support for Supplier Selection and Order Allocation (SSOA) is an important application area of multiple criteria decision making (MCDM) problems. In Amid et al. (Int J Prod Econ 131(1):139–145, 2011) proposed and developed a weighted maximin model to ensure the weight-consistent solution for SSOA in an MCDM problem under an uncertain environment. Essentially, this model is based on a weight-consistent constraint and a maximin aggregation operator. This paper reanalyzes the weighted maximin model in terms of the weight-consistent constraint, and then proposes a general weight-consistent model for SSOA in MCDM problems under uncertainty. In this paper, two existing models are reviewed and compared with the proposed model. Three datasets with different ranges of fuzzy demand and full factorial patterns of criteria weights are used to test the performances of the related models. The results showed that the proposed model always generates a weight-consistent Pareto-optimal solution in all cases, while the other existing models do not.

Suggested Citation

  • Sirin Suprasongsin & Pisal Yenradee & Van-Nam Huynh, 2020. "A weight-consistent model for fuzzy supplier selection and order allocation problem," Annals of Operations Research, Springer, vol. 293(2), pages 587-605, October.
    • Handle: RePEc:spr:annopr:v:293:y:2020:i:2:d:10.1007_s10479-019-03354-4
    DOI: 10.1007/s10479-019-03354-4
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    References listed on IDEAS

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    1. Gholamreza Bodaghi & Fariborz Jolai & Masoud Rabbani, 2018. "An integrated weighted fuzzy multi-objective model for supplier selection and order scheduling in a supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3590-3614, May.
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