To read this content please select one of the options below:

Methodology for monitoring supply chain performance: a fuzzy logic approach

H.C.W. Lau (H.C.W. Lau is Assistant Professor, Department of Industrial Systems Engineering, The Hong Kong Polytechnic University, Hunghom, Hong Kong)
Wan Kai Pang (Kai Pang is Assistant Professor, Department of Applied Mathematics, The Hong Kong Polytechnic University, Hunghom, Hong Kong)
Christina W.Y. Wong (Christina W.Y. Wong is Research Associate, Department of Manufacturing Engineering, The Hong Kong Polytechnic University, Hunghom, Hong Kong)

Logistics Information Management

ISSN: 0957-6053

Article publication date: 1 October 2002

2668

Abstract

An organization’s supply chain is the upstream fraction of the value chain activities, aiming to ensure that the right materials, services, and technologies are purchased from the right sources, at the right time, and in the right quality. It is essential that a company is able to utilize its supply chain with the support of a good monitoring scheme. This paper considers a framework of supply chain management embracing the principles of fuzzy logic for analyzing and monitoring performance of suppliers based on the criteria of product quality and delivery time. The proposed system recommends the quantity that should be placed in the next purchase order by indicating the possible issues to be considered prior to final confirmation with the relevant suppliers.

Keywords

Citation

Lau, H.C.W., Kai Pang, W. and Wong, C.W.Y. (2002), "Methodology for monitoring supply chain performance: a fuzzy logic approach", Logistics Information Management, Vol. 15 No. 4, pp. 271-280. https://doi.org/10.1108/09576050210436110

Publisher

:

MCB UP Ltd

Copyright © 2002, MCB UP Limited

Related articles