This study presents a novel approach to analyzing the application of metaheuristics from a circularity perspective.
Authors
Pankaj Kumar Detwal, Indian Institute of Technology, Roorkee, Uttarakhand, India.
Rajat Agrawal, Indian Institute of Technology, Roorkee, Uttarakhand, India.
Ashutosh Samadhiya, Assistant Professor, Jindal Global Business School, O.P. Jindal Global University Sonipat, Haryana, India.
Anil Kumar, Guildhall School of Business and Law, London Metropolitan University, London, N7 8DB, United Kingdom.
Summary
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.
Published in: Engineering Applications of Artificial Intelligence
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