A fuzzy-based decision-support model for rebuy procurement

Chien-Ming Chen

International Journal of Production Economics, 2009, vol. 122, issue 2, 714-724

Abstract: Under rapid innovations and technological changes due to fierce competition, purchasing managers are often faced with a high level of uncertainty in making procurement decisions. To maximize the buying firm' overall performance, managers also need to scrutinize suppliers' performance regarding multiple criteria. This paper proposes a practical decision-support model to deal with the rebuy procurement problem in this common scenario. Based on prior transaction data, the decision-support model enables the purchasing manager to obtain the most preferred solution through an interactive procedure. Thus the proposed model can facilitate self-improving learning effects, and tackle supplier selection problems for multiple items with vague information about the multi-dimensional performance of suppliers. The proposed model is applied to an example problem, in which we select suppliers by considering multi-criteria under the demand constraint of multiple items of varied importance to the buying firm.

Keywords: Supplier; selection; Supply; chain; management; Fuzzy; sets; Multi-criteria (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:122:y:2009:i:2:p:714-724

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