Title: A fuzzy rule-based system for the evaluation of logistics partners in the supply chain network

Authors: A. Ning, H.C.W. Lau, E.N.M. Cheng, T.T. Wong

Addresses: Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. ' Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. ' Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. ' Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

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.

Keywords: fuzzy logic; rule-based reasoning; partner selection; logistics project management; supply chain management; SCM; supply chain partners.

DOI: 10.1504/IJVCM.2009.022417

International Journal of Value Chain Management, 2009 Vol.3 No.1, pp.64 - 86

Published online: 04 Jan 2009 *

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