A fuzzy dynamic Inoperability Input-output Model for strategic risk management in Global Production Networks

被引：28
|
作者：
Niknejad, Ali [1 ]
Petrovic, Dobrila [1 ]
机构：
[1] Coventry Univ, Fac Engn Environm & Comp, Coventry CV1 5FB, W Midlands, England
来源：
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS | 2016年 / 179卷
关键词：
Risk management; Inoperability Input Output Models; Global Production Networks; Supply Chain Management Risk; Fuzzy arithmetic; Dynamic models; PROPAGATION;
D O I：
10.1016/j.ijpe.2016.05.017
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Strategic decision making in Global Production Networks (GPNs) is quite challenging, especially due to the unavailability of precise quantitative knowledge, variety of relevant risk factors that needs to be considered and the interdependencies that can exist between multiple partners across the globe. In this paper, a risk evaluation method for GPNs based on a novel Fuzzy Dynamic Inoperability Input Output Model (Fuzzy DIIM) is proposed. A fuzzy multi-criteria approach is developed to determine interdependencies between nodes in a GPN using experts' knowledge. An efficient and accurate method based on fuzzy interval calculus in the Fuzzy DIIM is proposed. The risk evaluation method takes into account various risk scenarios relevant to the GPN and likelihoods of their occurrences. A case of beverage production from the food industry is used to showcase the application of the proposed risk evaluation method. It is demonstrated how it can be used for GPN strategic decision making. The impact of risk on inoperability of alternative GPN configurations considering different risk scenarios is analysed. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：44 / 58
页数：15
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