Abstract
In this research, designing a sustainable, multi-level, multi-products, and multi-period closed-loop supply chain network for perishable products is addressed. For this purpose, an integrated mathematical model is proposed. The main objectives are to minimize the production, distribution, and customer satisfaction related costs, minimize total CO2 emissions, and maximize social responsibility. The contributions of this research include considering lead time for production and delivering perishable products in the supply chain network design problem, and proposing a novel hybrid algorithm based on whale optimization algorithm (WOA) and genetic algorithm (GA). To solve the problem and optimize the mathematical model, the proposed hybrid algorithm is implemented on several test problems in different sizes. The obtained results are compared with augmented epsilon constraint in order to evaluate the performance of the proposed algorithm. The results indicate that the proposed algorithm provides Pareto solutions with acceptable quality and diversity.
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References
Babazadeh R, Razmi J, Pishvaee MS, Rabbani M (2017) A sustainable second-generation biodiesel supply chain network design problem under risk. Omega 66:258–277
Burgess TF, Grimshaw P, Huaccho Huatuco L, Shaw NE (2017) Mapping the operations and supply chain management field: a journal governance perspective. Int J Oper Prod Manag 37(7):898–926
Cao C, Li C, Yang Q, Liu Y, Qu T (2018) A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters. J Clean Prod 174:1422–1435
Carter CR, Rogers DS (2008) Sustainable supply chain management: toward new theory in logistics management. Int J Phys Distrib Logist Manag 38(5):360–387
Davoodi SMR, Goli A (2019) An integrated disaster relief model based on covering tour using hybrid Benders decomposition and variable neighborhood search: application in the Iranian context. Comput Ind Eng 130:370–380
Deb K, Agrawal S, Pratap A, Meyarivan T (2000, September) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: International conference on parallel problem solving from nature. Springer, Berlin, pp 849–858
Fard AMF, Hajaghaei-Keshteli M (2018) A tri-level location-allocation model for forward/reverse supply chain. Appl Soft Comput 62:328–346
Ghelichi Z, Saidi-Mehrabad M, Pishvaee MS (2018) A stochastic programming approach toward optimal design and planning of an integrated green biodiesel supply chain network under uncertainty: a case study. Energy 156:661–687
Goli A, Davoodi SMR (2018) Coordination policy for production and delivery scheduling in the closed loop supply chain. Prod Eng Res Devel 12(5):621–631
Goli A, Zare HK, Tavakkoli‐Moghaddam R, Sadegheih A (2019) Multiobjective fuzzy mathematical model for a financially constrained closed‐loop supply chain with labor employment. Comput Intel
Liang L, Quesada HJ (2018) Green design of a cellulosic butanol supply chain network: a case study of sorghum stem bio-butanol in Missouri. BioResources 13(3):5617–5642
Mardan E, Govindan K, Mina H, Gholami-Zanjani SM (2019) An accelerated benders decomposition algorithm for a bi-objective green closed loop supply chain network design problem. J Clean Prod 235:1499–1514
Mardani A, Kannan D, Hooker RE, Ozkul S, Alrasheedi M, Tirkolaee EB (2020) Evaluation of green and sustainable supply chain management using structural equation modelling: a systematic review of the state of the art literature and recommendations for future research. J Clean Prod 249:119383
Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51–67
Niranjan T, Parthiban P, Sundaram K, Jeyaganesan PN (2019) Designing a omnichannel closed loop green supply chain network adapting preferences of rational customers. Sādhanā 44(3):60
Rabbani M, Hosseini-Mokhallesun SAA, Ordibazar AH, Farrokhi-Asl H (2020) A hybrid robust possibilistic approach for a sustainable supply chain location-allocation network design. Int J Syst Sci Oper Logist 7(1):60–75
Rad RS, Nahavandi N (2018) A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount. J Clean Prod
Sangaiah AK, Tirkolaee EB, Goli A, Dehnavi-Arani S (2019) Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem. Soft Comput 1–21
Sangaiah AK, Goli A, Tirkolaee EB, Ranjbar-Bourani M, Pandey HM, Zhang, W (2020) Big data-driven cognitive computing system for optimization of social media analytics. IEEE Access 8:82215-82226
Tirkolaee EB, Goli A, Weber GW (2019) Multi-objective aggregate production planning model considering overtime and outsourcing options under fuzzy seasonal demand. In: Advances in manufacturing II. Springer, Cham, pp 81–96
Tirkolaee EB, Goli A, Weber GW (2020) Fuzzy mathematical programming and self-adaptive artificial fish swarm algorithm for just-in-time energy-aware flow shop scheduling problem with outsourcing option. IEEE Trans Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2020.2998174
Yavari M, Geraeli M (2019) Heuristic method for robust optimization model for green closed-loop supply chain network design of perishable goods. J Clean Prod 226:282–305
Zhuo H, Wei S (2017) Gaming of green supply chain members under government subsidies—based on the perspective of demand uncertainty. In: Proceedings of the tenth international conference on management science and engineering management. Springer, Singapore, pp 1105–1116
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Goli, A., Tirkolaee, E.B., Weber, GW. (2020). A Perishable Product Sustainable Supply Chain Network Design Problem with Lead Time and Customer Satisfaction using a Hybrid Whale-Genetic Algorithm. In: Golinska-Dawson, P. (eds) Logistics Operations and Management for Recycling and Reuse. EcoProduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33857-1_6
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