Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks

Growing environmental concerns and social legislations enforce decision makers to design their supply chains considering environmental and social impacts as well as economical objectives. Degradation difficulties and recovering profits lead to recycle scraped tires regarding the sustainability facto...

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Veröffentlicht in:Journal of cleaner production Jg. 196; S. 273 - 296
Hauptverfasser: Sahebjamnia, Navid, Fathollahi-Fard, Amir Mohammad, Hajiaghaei-Keshteli, Mostafa
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 20.09.2018
Schlagworte:
algorithms
decision making
employment opportunities
environmental impact
Hybrid meta-heuristics
laws and regulations
linear programming
Location and allocation problem
profits and margins
social impact
supply chain
Sustainable supply chain network design
Tire closed-loop supply chain
tires
transportation
Tire closed-loop supply chain
Hybrid meta-heuristics
Sustainable supply chain network design
Location and allocation problem
ISSN:0959-6526, 1879-1786
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Zusammenfassung:Growing environmental concerns and social legislations enforce decision makers to design their supply chains considering environmental and social impacts as well as economical objectives. Degradation difficulties and recovering profits lead to recycle scraped tires regarding the sustainability factors. This paper firstly develops a multi-objective mixed integer linear programming model for designing of sustainable tire closed-loop supply chain network. The proposed model aims to optimize total cost, environmental impacts of establishment of facilities, processing of tires and transportation between each level as well as social impacts including job opportunities and work's damages. To alleviate the drawbacks of existing metaheuristic algorithms when solving the large-scale networks, four new hybrid metaheuristic algorithms based on the advantages of recent and old ones are developed. To evaluate the quality of the proposed hybrid algorithms, extensive computational experiments, comparison, and sensitivity analyses are conducted with different criteria. Results reveal that hybrid algorithms are effective approaches to solve the underlying problem in large-scale networks. •Developing the sustainable tire closed-loop supply chain network for the first time.•Proposing four new hybrid meta-heuristic algorithms to reduce the computational time and improve the quality of solutions.•Generalizing the performance of the proposed hybrid metaheuristic algorithms using standard benchmarked problems.•Developing the LCA-methodology for estimating the sustainability dimensions of the tire closed-loop supply chain network.
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ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2018.05.245