Mathematical Driven Model for Closed-Loop Supply Chain Network Design

dc.contributor.author	Pandey A.K.; Kumar A.; Kushwaha S.; Dwivedi A.; Pratap S.
dc.date.accessioned	2025-05-23T11:13:44Z
dc.description.abstract	The closed-loop supply chain (CLSC) has gained popularity as a practical way to improve sustainability and resource efficiency in various industries. Unlike a linear supply chain, a CLSC adopts reverse logistics to recover, recycle, and reuse items or their components. This study creates a mathematical model for a reliable and effective CLSC model that integrates forward and reverse logistics operations to reduce costs, boost profits, and reduce environmental impact. A metaheuristic approach (Genetic Algorithm) is used to solve the model. The experimental findings show that the suggested strategy contributes in enhancing CLSC performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
dc.identifier.doi	https://doi.org/10.1007/978-981-97-3292-0_51
dc.identifier.uri	http://172.23.0.11:4000/handle/123456789/6173
dc.relation.ispartofseries	Lecture Notes in Networks and Systems
dc.title	Mathematical Driven Model for Closed-Loop Supply Chain Network Design

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