Title: The risk control evaluation for supply chain based on knowledge management

Authors: Liang Ye; Yang Liu

Addresses: School of Management, Shanghai University, 333 Nanchen Road, Baoshan, Shanghai, 200444, China ' School of Computer Engineering and Science, Shanghai University, China

Abstract: The supply chain risk control has recently attracted much attention from both researchers and practitioners. How to evaluate the risk control of supply chains plays an important role to meet the requirement of diverse customers. Knowledge-based risk control evaluation shares the real-time supply chain knowledge for decision-making. This paper proposes a risk control evaluation model for supply chains based on knowledge management. It contains three sub-systems: 1) supply chain custom system, which gathers and monitors supply chain risk information; 2) supply chain knowledge system, which communicates, associates, cooperates and masters the knowledge in use of risk control based on established index system; 3) decision-making control and feedback system, which performs decision evaluation based on fuzzy inference to make the decision-making competitive. A risk control evaluation case study demonstrates that our methods significantly evaluates the supply chain risk control performance in terms of accuracy compared with expert judgment.

Keywords: risk control evaluation; decision evaluation; supply chain management; SCM; knowledge management; fuzzy inference systems; FIS; supply chain risks; supply chains.

DOI: 10.1504/IJCSE.2017.081170

International Journal of Computational Science and Engineering, 2017 Vol.14 No.1, pp.74 - 83

Received: 21 Mar 2014
Accepted: 22 Apr 2014

Published online: 26 Dec 2016 *

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