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Fuzzy measures of supplier evaluation under lean concepts

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  • W C Tsai

    (I-Shou University)

Abstract

Supplier evaluation is a multiple attribute decision-making (MADM) problem involving a mixture of qualitative and quantitative attributes. Some mathematical programming techniques have difficulty in dealing with the qualitative attributes that are not easy to measure but very important in supplier evaluation. Fuzzy set theory is useful whenever variables defining a complex and vague system can neither be quantitatively defined nor assigned very precise measures, but are described by linguistic values. This paper presents a procedure for supplier evaluation by incorporating fuzzy set theory into the evaluation process to handle the qualitative attributes in the problem. A mathematical ranking method is used to convert the qualitative attributes into crisp scores. All the quantitative and qualitative performance measures are normalized and then using the proposed model, data are integrated into a single score to rank suppliers. The model application is demonstrated through two previously reported data sets under lean philosophy.

Suggested Citation

  • W C Tsai, 2009. "Fuzzy measures of supplier evaluation under lean concepts," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 1005-1011, July.
    • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:7:d:10.1057_palgrave.jors.2602643
    DOI: 10.1057/palgrave.jors.2602643
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    References listed on IDEAS

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    Cited by:

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    2. Said Echchakoui, 2018. "An analytical model that links customer-perceived value and competitive strategies," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(4), pages 138-149, December.
    3. Chuu, Shian-Jong, 2011. "Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain," European Journal of Operational Research, Elsevier, vol. 213(1), pages 279-289, August.

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