Title: Modelling sustainable supply chain management problem with fuzzy demand based on multi-criteria decision making methods
Authors: Mahnaz Mohebalizadeh; Ashkan Hafezalkotob
Addresses: Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran ' Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract: Nowadays, environmental issues are playing a significant role in our real lives and need to be taken into account in many decision-making problems. In order to incorporate environmental concerns into supply chain management problem as one of the most important decision-making problems, a new sustainable supply chain model is developed in this paper in which collection/inspection, recycling and returning unsatisfying and end-of-life products are examined in an uncertain environment. In this regard, a multi-objective mixed integer linear programming model with fuzzy demand parameter is proposed in which the flows through the sustainable supply chain network and facilities locations are determined in such a way that four objective functions are optimised including minimising total cost, minimising energy consumption, maximising number of jobs, and minimising delivery time. Using modified fuzzy parametric programming (MFPP) and weighted metrics method as the solution procedure to solve the developed model, it is implemented on a real case study to demonstrate its capabilities in a practical context.
Keywords: sustainable supply chain; sustainable development; multi objective problem; fuzzy TOPSIS; fuzzy programming.
International Journal of Industrial and Systems Engineering, 2018 Vol.30 No.3, pp.267 - 297
Received: 03 Oct 2015
Accepted: 28 Oct 2016
Published online: 09 Oct 2018 *