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A comprehensive decision-making model for risk management of supply chain

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Xia, De and Chen, Bo (2011) A comprehensive decision-making model for risk management of supply chain. Expert Systems with Applications, Volume 38 (Number 5). pp. 4957-4966. doi:10.1016/j.eswa.2010.09.156

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Official URL: http://dx.doi.org/10.1016/j.eswa.2010.09.156

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Abstract

Risk management of a supply chain (SC) has a great influence on the stability of dynamic cooperation among SC partners and hence very important for the performance of the SC operations as a whole. A suitable decision-making model is the cornerstone for the efficiency of SC risk management. We propose in this paper a decision-making model based on the internal triggering and interactive mechanisms in an SC risk system, which takes into account dual cycles, the operational process cycle (OPC) and the product life cycle (PLC). We explore the inter-relationship among the two cycles, SC organizational performance factors (OPF) and available risk operational practice (ROP), as well as the risk managerial elements in OPC and PLC. In particular, three types of relationship, bilateral, unilateral and inter-circulative ones, are analyzed and verified. We build this dynamic relation into SC risk managerial logic and design a corresponding decision-making path. Based on the analytic network process (ANP), a methodology is designed for an optimal selection of risk management methods and tools. A numerical example is provided as an operational guideline for how to apply it to tailor operational tactics in SC risk management. The results verify that this strategic decision model is a feasible access to the suitable risk operational tactics for practitioners. (C) 2010 Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Divisions: Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Business logistics, Risk management, Decision making -- Mathematical models, Product life cycle
Journal or Publication Title: Expert Systems with Applications
Publisher: Pergamon-Elsevier Science Ltd.
ISSN: 09574174
Official Date: May 2011
Dates:
DateEvent
May 2011Published
Volume: Volume 38
Number: Number 5
Page Range: pp. 4957-4966
DOI: 10.1016/j.eswa.2010.09.156
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Data sourced from Thomson Reuters' Web of Knowledge

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