Affiliations: Industrial Systems Engineering, University of Regina, Wascana Parkway, Regina, SK, Canada
Correspondence:
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Corresponding author. Rene V. Mayorga, Industrial Systems Engineering, University of Regina, 3737 Wascana Parkway, Regina, SK, S4S 0A2, Canada. E-mail: rene.mayorga@uregina.ca.
Abstract: In this paper, a fuzzy multi-objective mixed-integer linear programming (FMOMILP) model is proposed that integrates sustainability three pillars into the Closed – loop Supply Chain (CLSC) network design problem under uncertainty. A two-phase solution approach is proposed to solve this problem. Firstly, the presented model is converted into multi-objective mixed-integer linear programming (MOMILP) by the weighted average method. Then, three widely used interactive fuzzy programming approaches are implemented to solve the model. The significance of the proposed model as well as the fuzzy programming solution approaches are validated through a computational experiment. The obtained results demonstrate the effectiveness of proposed model and solution approaches in designing sustainable CLSC network under uncertain environment.
