A fuzzy rule-based system for the evaluation of logistics partners in the supply chain network
by A. Ning, H.C.W. Lau, E.N.M. Cheng, T.T. Wong
International Journal of Value Chain Management (IJVCM), Vol. 3, No. 1, 2009

Abstract: Finding a suitable partner among a number of possible alternatives is not a simple task; it requires an objective analysis using a systematic method, as well as a clear recognition of the company's own expectations. The proposed fuzzy rule-based system can help the manufacturer evaluate its logistics partners in the supply chain network. A case example is given to show how to select the most suitable logistics partner out of five alternatives that are based on three main selection criteria using the fuzzy rule-based system. The selection rule is based on the partner's suitability in terms of a 0–100 scaled score. The selection outcome shows the highest scoring alternative as the most suitable partner according to the manufacturer's customised requirements. This is expected to help the company find a suitable partner and increase the likelihood of achieving the most successful synergy.

Online publication date: Sun, 04-Jan-2009

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