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Designing a closed-loop supply chain network for citrus fruits crates considering environmental and economic issues
Affiliation:1. School of Business Administration, Southwestern University of Finance and Economics, Chengdu, Sichuan, 610074, PR China;2. Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran;3. Department of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran;4. Division of Engineering, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates;5. Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, 11201, United States;1. Department of Operational Research, University of Delhi, Delhi, India;2. Department of Technology and Innovation, University of Southern Denmark, Odense M, Denmark;3. Department of Engineering Systems and Management, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates;1. Department of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran;2. Institute for Integrated and Intelligent Systems, Griffith University, Nathan, QLD 4111, Australia;1. School of Industrial Engineering, College of Engineering, Semnan University, Semnan, Iran;2. Center for Sustainable Supply Chain Engineering, Department of Technology and Innovation, University of Southern Denmark, Odense, Denmark;3. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran;4. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract:Most cities, notably major and agricultural ones, are faced with environmental and waste problems. Distribution and collection of agricultural crops can be challenging duties as world demand and production are substantially increased. Accordingly, resource depletion, environmental concern, and the importance of the circular economy have convinced this research group to focus on a Closed-Loop Supply Chain (CLSC) network design. In this study, a new mixed linear mathematical model for a CLSC was developed which minimizes the CLSC’s total costs and which tackles and controls air pollution. Contrary to previous works about supply chain network design, we firstly consider citrus fruits’ crates in our model. To solve the model, two leading algorithms, Genetic Algorithm and Simulated Annealing, are employed and a third recently successful method, Keshtel Algorithm, is utilized. Further, two hybridization algorithms stemmed from mentioned ones are applied. Finally, the results are assessed by different criteria and compared, and then the two best algorithms are chosen in this case. Consequently, in order to achieve the most effective result, a real case study of crates was conducted. The results obviously presented applicability and efficiency of the proposed model. Thus, the most suitable network for CLSC of citrus fruits’ crates was designed in which the costs and emissions were reduced.
Keywords:Closed-loop supply Chain  Reverse logistics  Location-allocation problem  Environmental issues  Citrus fruit crates  Metaheuristics
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