Title: Understanding supply risk in supply chain: a fuzzy framework

Authors: Kunal K. Ganguly, Kalyan K. Guin

Addresses: Institute of Management Technology, Raj Nagar, Ghaziabad 201001, UP, India. ' VGSOM, IIT Kharagpur, Kharagpur, WB 721302, India

Abstract: Understanding and assessing risk are fundamental to success in Supply Chain Management. This paper develops and demonstrates a fuzzy risk assessment framework to effectively assess supply risk. The sources of risk were extracted based on industry expert views and prior research. A fuzzy inference engine which embeds human expert knowledge expressed through natural language is used. The case of a process industry showed that this method could capture imprecise perceptions about risk factors and quantify them effectively. The framework will be beneficial to researchers and practicing managers in identification of risk and improvement of reliability in the supply chain.

Keywords: risk assessment; risks; risk factors; membership functions; fuzzy sets; SCM; supply chain management; fuzzy frameworks; supply risk; inference engines; expert knowledge; natural language; process industries; imprecise perceptions; risk identification; reliability; India; logistics systems; logistics management.

DOI: 10.1504/IJLSM.2011.038987

International Journal of Logistics Systems and Management, 2011 Vol.8 No.3, pp.267 - 283

Published online: 30 Apr 2015 *

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