Sustainable supplier selection and order allocation under operational and disruption risks

被引:186
作者
Vahidi, F. [1 ]
Torabi, S. Ali [1 ]
Ramezankhani, M. J. [1 ]
机构
[1] Univ Tehran, Coll Engn, Sch Ind Engn, Tehran, Iran
关键词
Sustainable supplier selection; Resilience; Bi-objective programming; Two-stage mixed; Possibilistic-stochastic programming; SWOT; QFD; POSSIBILISTIC PROGRAMMING APPROACH; CHAIN NETWORK DESIGN; EPSILON-CONSTRAINT METHOD; DECISION-MAKING METHOD; DIFFERENTIAL EVOLUTION; RESILIENCE; GREEN; OPTIMIZATION; PERSPECTIVE; PERFORMANCE;
D O I
10.1016/j.jclepro.2017.11.012
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study proposes a novel bi-objective two-stage mixed possibilistic-stochastic programming model to address sustainable supplier selection and order allocation problem under operational and disruption risks. A hybrid SWOT-QFD systematic framework is suggested for choosing the most influential sustainability criteria in accordance with the manufacturer's strategies. Furthermore, different proactive strategies such as contracting with backup suppliers, and considering excess capacity for supply nodes are used to enhance the resilience level of the selected supply base. A mixed sustainability-resilience objective function is also introduced to select a resiliently sustainable supply base. A number of numerical examples are tested to validate the formulated model and its solution method. A case study is also provided to demonstrate the applicability of the proposed framework in practice. Finally, a sensitivity analysis is carried out to show the merits of the proposed aggregate sustainability-resilience objective function. (C) 2017 Elsevier Ltd. All rights reserved.
引用
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页码:1351 / 1365
页数:15
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