Metaheuristics in circular supply chain intelligent systems: a review of applications journey and forging a path to the future

Detwal, Pankaj Kumar, Agrawal, Rajat, Samadhiya, Ashutosh and Kumar, Anil (2023) Metaheuristics in circular supply chain intelligent systems: a review of applications journey and forging a path to the future. Engineering Applications of Artificial Intelligence, 26 (107102). pp. 1-16. ISSN 0952-1976

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Abstract / Description

Metaheuristics have become increasingly popular due to the complex and extensive optimization models that have emerged in the circular supply chain field. This study aims to fill a gap in the literature by conducting a comprehensive analysis of the role of metaheuristics in reverse logistics and circular supply chains. The methodology involves a meticulous review of 77 meticulously selected research articles published until 2023. The findings of our analysis indicate a significant increase in the number of publications in recent times. Through descriptive and content analyses, key themes emerge, including types of metaheuristics used, addressed supply chain issues, and circularity aspects. This study presents a novel approach to analyzing the application of metaheuristics from a circularity perspective. It also introduces a conceptual framework and suggests cluster-based future research directions. The results of the study hold valuable implications for researchers and other stakeholders in terms of understanding and advancement of the field.

Item Type:	Article
Uncontrolled Keywords:	metaheuristics; circularity; reverse logistics; closed-loop supply chain; systematic literature review; conceptual framework
Subjects:	600 Technology > 650 Management & auxiliary services
Department:	Guildhall School of Business and Law
Depositing User:	Anil Kumar
Date Deposited:	05 Sep 2023 15:02
Last Modified:	15 Sep 2023 14:23
URI:	https://repository.londonmet.ac.uk/id/eprint/8738

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