Department of Industrial Engineering, Nowshahr branch, Islamic Azad University, Sari, Iran
Abstract
Today due to the significance of environmental pollutants and the increase of global standards for the environment, more attention has been paid to the design of closed-loop supply chain networks with green considerations. On the other hand, the direct and inverse chains affect each other in terms of the efficiency rate. As a result, the performance of each chain has its own effect on other chains and on the entire supply chain. In this research, we design a mathematical model for the green closed-loop heavy-duty supply chain network, which considers products under conditions of uncertainty with the concept of economic pricing. Economic pricing in this issue increases economic profitability. The designed mathematical model has a fuzzy basis and pursues two objectives. The first goal is to minimize costs and the second goal is to minimize environmental pollutants. The decisions made in this model include determining the optimal location of each center based on potential locations, the optimal amounts of production, distribution, collection and recycling, and also the reproduction of products. Furthermore, a two-sample independent t-test is used to validate the results of the definite and indefinite models. To solve the two-objective function model, the ε-constraint method is used so that the problem can guarantee strong Pareto optimal solutions and prevent weak Pareto solutions. Finally, to evaluate the efficiency of the proposed method, a case in the field of heavy tires is studied, solved and implemented to produce and present valuable management results.
Govindan, H. Soleimani, and D. Kannan, "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, vol. 240(3): pp. 603-626, 2015.
Fang and J. Zhang,"Performance of green supply chain management: A systematic review and meta analysis,"Journal of Cleaner Production, vol.183: pp. 1064-1081, 2018.
Paydar and M. Olfati,"Designing and solving a reverse logistics network for polyethylene terephthalate bottles, " Journal of Cleaner Production,vol.195: pp. 605-617, 2018.
Amin, H. Wu, and G. Karaphillis, "A perspective on the reverse logistics of plastic pallets in Canada," Journal of Remanufacturing, vol. 8(3), pp. 153-174, 2018.
Huang, L. Murong, and W. Wang, "Green closed-loop supply chain network design considering cost control and CO2 emission, " Modern Supply Chain Research and Applications,vol. 2(1), pp. 42-59, 2020.
Solgi, J. Gheidar, E. Dehghani, and A. Torami, "Resilient supplier selection in complex product and its subsystems’ supply chain under uncertainty and risk disruption: A case study for satellite components," Scientia Iranica,vol. 28(3), pp. 1802-1826, 2019.
-H Hong and J.-S. Yeh, "Modeling closed-loop supply chains in the electronics industry: A retailer collection application," Transportation Research Part E: Logistics and Transportation Review, vol.48(4), pp. 817-829, 2012.
Wei, K. Govindan, Y. Li, and J. Zhao, "Pricing and collecting decisions in a closed-loop supply chain with symmetric and asymmetric information," Computers & Operations Research,vol.54, pp. 257-265, 2015.
Soni, V. Jain, and S. Kumar, "Measuring supply chain resilience using a deterministic modeling approach, " Computers & Industrial Engineering, vol. 74, pp. 11-25, 2014.
Genovese,A. Acquaye, A. Figueroa and S. C. Lenny Koh,"Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications, " Omega, vol. 66, pp. 344-357, 2017.
S. Syam and A. Bhatnagar, "A decision support model for determining the level of product variety with marketing and supply chain considerations," Journal of Retailing and Consumer Services, vol. 25, pp. 12-21, 2015.
Sadia, T. Paksoy, B. Torğul, and R. Kaur, "Reverse logistics optimization of an industrial air conditioner manufacturing company for designing sustainable supply chain: a fuzzy hybrid multi-criteria decision-making approach," Wireless Networks, vol.26, pp. 5759-5782, 2020.
de Camargo Fiorini, and C.J.C. Jabbour, "Information systems and sustainable supply chain management towards a more sustainable society: Where we are and where we are going," International Journal of Information Management, vol.37(4), pp. 241-249, 2017.
Saberi, M. Kouhizadeh, J. Sarkis, and L. Shen,"Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, vol.57(7), pp. 2117-2135, 2018.
Ghadimi, C. Wang, and M.K. Lim, "Sustainable supply chain modeling and analysis: Past debate, present problems and future challenges,"Resources, Conservation and Recycling, vol. 140, pp. 72-84, 2019.
-J Lin,"Using fuzzy DEMATEL to evaluate the green supply chain management practices," Journal of Cleaner Production, vol. 40, pp. 32-39, 2013.
Rajesh and V. Ravi, "Modeling enablers of supply chain risk mitigation in electronic supply chains: A Grey–DEMATEL approach," Computers & Industrial Engineering, vol. 87, pp. 126-139, 2015.
K Nasr, M. Tavana, B. Alavi, and H. Mina, "A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains," Journal of Cleaner Production, vol. 287, p.124994, 2021.
Dong, L. Jiang, W. Lu, and Q. Guo, "Closed-loop supply chain models with product remanufacturing under random demand," Optimization, vol.70(1), pp. 27-53, 2021.
Moradi and M. S. Sangari, "A robust optimisation approach for designing a multi-echelon, multi-product, multi-period supply chain network with outsourcing,"International Journal of Logistics Systems and Management, vol. 38(4), pp. 488-505, 2021.
Diabat and A. Jebali, "Multi-product and multi-period closed loop supply chain network design under take-back legislation," International Journal of Production Economics, vol. 231, p. 107879, 2021.
Liu, N. Shen, Z. Xu, N. Xie, J. Chen, and H. Zhou,"Pricing and collection decisions of a closed-loop supply chain with fuzzy demand," International Journal of Production Economics, vol. 245, pp. 108409, 2022.
Salehi-Amiri, A. Zahedi, F. Gholian-Jouybari,E. Z. R. Calvo, and M. Hajiaghaei-Keshteli, "Designing a closed-loop supply chain network considering social factors; a case study on avocado industry," Applied Mathematical Modelling,vol. 101, pp. 600-631, 2022.
Garai,and B. Sarkar, "Economically independent reverse logistics of customer-centric closed-loop supply chain for herbal medicines and biofuel," Journal of Cleaner Production,vol. 334, p. 129977, 2022.
Z. Farahani, S. Rezapour, T. Drezner, and S. Fallah,"Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, vol. 45, pp. 92-118, 2014.
Rezapour, and R. Z. Farahani, "Strategic design of competing centralized supply chain networks for markets with deterministic demands," Advances in Engineering Software, vol.41(5), pp. 810-822, 2010.
Jimenez, M. Arenas, A. Bilbao, and M. V. Rodriguez,"Linear programming with fuzzy parameters: an interactive method resolution, " European Journal of Operational Research, vol. 177, pp. 1599-1609, 2007.
amoozadkhalili, H. (2022). A Closed-Loop Supply Chain Network Design with Economic Pricing and Environmental Considerations under Fuzzy Uncertainty. Supply Chain Management, 24(74), 61-78.
MLA
hossein amoozadkhalili. "A Closed-Loop Supply Chain Network Design with Economic Pricing and Environmental Considerations under Fuzzy Uncertainty", Supply Chain Management, 24, 74, 2022, 61-78.
HARVARD
amoozadkhalili, H. (2022). 'A Closed-Loop Supply Chain Network Design with Economic Pricing and Environmental Considerations under Fuzzy Uncertainty', Supply Chain Management, 24(74), pp. 61-78.
VANCOUVER
amoozadkhalili, H. A Closed-Loop Supply Chain Network Design with Economic Pricing and Environmental Considerations under Fuzzy Uncertainty. Supply Chain Management, 2022; 24(74): 61-78.
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