 Providing a two-objective mathematical model to design a green reverse logistics network with vehicle routingMarzieh Shayannejad, Mehdi Alinaghian and Hadi Shirouyehzad International Journal of Logistics Systems and Management, 2022, vol. 42, issue 2, 176-197 Abstract: Today, assurance of sustainable development depends on the preservation and the efficient use of limited resources which cannot be replaced, due to environmental issues, legal requirements and economic benefits of restoration activities have led to more consideration of the reverse logistic activities. In recent years, reducing the environmental impacts of human activities has been paid more attention. Also, since the vehicle routing plays a significant role in reducing the logistic transportation costs, providing such a model for minimising these sorts of costs is crucial. This paper studies a two-objective mixed integer nonlinear programming model to design a multi-product and multi-level green reverse logistics network using vehicle routing in view of their capacity. The proposed model is able to minimise the environmental impact along with minimisation of traditional cost. For solving the model in large-scale, two meta-heuristic algorithms including non-dominated sorting genetic algorithm-II and multi-objective particle swarm optimisation algorithm have been used. Keywords: green reverse logistic; mixed integer nonlinear programming; meta-heuristic algorithms. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:42:y:2022:i:2:p:176-197 Access Statistics for this article More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd |
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