Resilient and sustainable supply chain design: sustainability analysis under disruption risks

被引:246
|
作者
Jabbarzadeh, Armin [1 ]
Fahimnia, Behnam [2 ]
Sabouhi, Fatemeh [1 ]
机构
[1] Iran Univ Sci & Technol, Dept Ind Engn, Tehran, Iran
[2] Univ Sydney, Business Sch, ITLS, Sydney, NSW, Australia
关键词
resilience; sustainability; disruption; supply chain design; sustainability performance scoring; stochastic programming; fuzzy c-means clustering method; supplier selection; EPSILON-CONSTRAINT METHOD; FACILITY LOCATION PROBLEM; NETWORK DESIGN; DECISION-MAKING; PROGRAMMING APPROACH; QUANTITY DISCOUNT; CUSTOMER ORDERS; SERVICE LEVEL; MODEL; OPTIMIZATION;
D O I
10.1080/00207543.2018.1461950
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Resilience to disruptions and sustainability are both of paramount importance to supply chains. However, the interactions between the two have not been thoroughly explored in the academic literature.We attempt to contribute to this area by presenting a hybrid methodology for the design of a sustainable supply network that performs resiliently in the face of random disruptions. A stochastic bi-objective optimisation model is developed that utilises a fuzzy c-means clustering method to quantify and assess the sustainability performance of the suppliers. The proposed model determines outsourcing decisions and resilience strategies that minimise the expected total cost and maximise the overall sustainability performance in disruptions. Important managerial insights and practical implications are obtained from the model implementation in a case study of plastic pipe industry.
引用
收藏
页码:5945 / 5968
页数:24
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