Designing a New Location-Allocation and Routing Model with Simultaneous Pick-Up and Delivery in a Closed-Loop Supply Chain Network under Uncertainty

Mehrnaz Bathaee, Hamed Nozari and Agnieszka Szmelter-Jarosz ()
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Mehrnaz Bathaee: Department of Industrial Engineering, Karaj Branch, University of Karaj, Karaj 3149968111, Iran
Hamed Nozari: Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran
Agnieszka Szmelter-Jarosz: Department of Logistics, Faculty of Economics, University of Gdańsk, 81-824 Sopot, Poland

Logistics, 2023, vol. 7, issue 1, 1-33

Abstract: Background: In this paper, a new closed-loop supply chain (CLSC) network model, including economic, social and environmental goals, is designed. This paper’s primary purpose is to meet customers’ uncertain demands in different scenarios where the new robust-fuzzy-probabilistic method has been used to estimate the exact demand. Furthermore, strategic and tactical decisions, such as vehicle routing, facility location and optimal flow allocation in the CLSC network, are considered, and features such as queuing system in product distribution and time window in product delivery are considered. Methods : To solve the problem, NSGA II and MOPSO have been used. Results : The results of solving numerical examples in larger sizes show that as the environmental effects decrease and the social effects increase, the design costs of the total supply chain network (SCN) increase. Moreover, the NSGA II is more efficient than the MOPSO in problem-solving and achieving comparison indicators. Conclusions : The results of sensitivity analysis show that with increasing network uncertainty rate, the total costs of the SCN, the amount of greenhouse gas emissions and the maximum vehicle traffic time increase.

Keywords: closed-loop supply chain; pick-up delivery routing problem; robust-fuzzy-probabilistic optimization; multi-depot vehicle routing (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2023
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