An interactive possibilistic programming approach for a multi-objective closed-loop supply chain network under uncertainty

作者：Fallah Tafti Alireza^*; Sahraeian Rashed; Tavakkoli Moghaddam Reza; Moeinipour Masoud

来源：International Journal of Systems Science, 2014, 45(3): 283-299.

DOI：10.1080/00207721.2012.720296

• closed-loop supply chain network design
• possibilistic programming
• STEP method
• multiple-criteria decision making
• supplier selection

In this article, we first propose a closed-loop supply chain network design that integrates network design decisions in both forward and reverse supply chain networks into a unified structure as well as incorporates the tactical decisions with strategic ones (e.g., facility location and supplier selection) at each period. To do so, various conflicting objectives and constraints are simultaneously taken into account in the presence of some uncertain parameters, such as cost coefficients and customer demands. Then, we propose a novel interactive possibilistic approach based on the well-known STEP method to solve the multi-objective mixed-integer linear programming model. To validate the presented model and solution method, a numerical test is accomplished through the application of the proposed possibilistic-STEM algorithm. The computational results demonstrate suitability of the presented model and solution method.

• 出版日期2014-3-1