An integrated robust optimisation approach to closed-loop supply chain network design under uncertainty: the case of the auto glass industry

Maryam Kolyaei, Adel Azar and Ali Rajabzadeh Ghatari

International Journal of Process Management and Benchmarking, 2023, vol. 14, issue 3, 285-310

Abstract: In this paper, we propose an integrated model that has two stages. In the first stage, suppliers and subcontractors are evaluated with a fuzzy method based on proposed qualitative set of criteria. The outputs of this stage are utilised as the input of the next stage. In stage two, a multi-objective mixed-integer linear programming model is proposed considering four conflicting objectives. The model is developed using robust programming to investigate the effects of uncertainty in customer demand. The model is able to: 1) select the best suppliers and subcontractors based on established qualitative and quantitative criteria; 2) allocate orders to them; 3) determine the optimal number of parts and products in the network. To motivate the practical aspect of the model in real-world applications, we applied the model to an auto glass company. The results revealed that the model is cost-efficient for CLSC network designs and can control the supply chain uncertainties.

Keywords: closed-loop supply chain network; CLSC; supplier and subcontractor selection; robust optimisation; fuzzy approach. (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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