期刊
JOURNAL OF MANUFACTURING SYSTEMS
卷 55, 期 -, 页码 199-220出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jmsy.2020.02.001
关键词
Closed-loop supply Chain; Reverse logistics; Location-allocation problem; Environmental issues; Citrus fruit crates; Metaheuristics
资金
- National Natural Science Foundation of China [71871186, 71871184]
- Fundamental Research Funds for the Central Universities [JBK18JYT02, JBK1902009, JBK190504]
- NYUAD Center for Interacting Urban Networks (CITIES) - Tamkeen under the NYUAD Research Institute Award [CG001]
- Swiss Re Institute under the Quantum Cities
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.
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