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Supplier selection for industry: a fuzzy rule-based scoring approach with a focus on usability

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  • Cuneyt Altinoz

Abstract

Compared to other selection problems, supplier selection is a particularly challenging application as often there's incomplete or imprecise information about the candidates and the key factors frequently are frequently difficult to quantify. Although the literature is replete with research to support this process, supplier selection decisions remain firmly in the domain of the human expert, while sophisticated decision support methodologies go unused in industry. This paper explores the issue of usability in supplier selection literature and proposes a usability focused methodology that combines elements from fuzzy rule-based expert systems and attribute scoring approaches. The objectives are twofold: to capture the nuances of supplier evaluation to the extent that will satisfy decision makers and to accomplish this in an intuitive manner so that the methodology can find acceptance in industry. The methodology is followed by a discussion of the tests carried out with an apparel company.

Suggested Citation

  • Cuneyt Altinoz, 2008. "Supplier selection for industry: a fuzzy rule-based scoring approach with a focus on usability," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 4(3/4), pages 303-321.
    • Handle: RePEc:ids:ijisma:v:4:y:2008:i:3/4:p:303-321
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    Cited by:

    1. Alessio Ishizaka, 2014. "Comparison of fuzzy logic, AHP, FAHP and hybrid fuzzy AHP for new supplier selection and its performance analysis," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(1/2), pages 1-22.
    2. Saliha Karadayi-Usta & Seyda Serdarasan, 2024. "Supplier selection and capacity allocation in medical tourism service supply chain," OPSEARCH, Springer;Operational Research Society of India, vol. 61(4), pages 2191-2217, December.

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