A Trade-off Analysis of Economic and Environmental Aspects of a Disruption Based Closed-Loop Supply Chain Network

Abdul Salam Khan, Catalin Iulian Pruncu, Razaullah Khan, Khawar Naeem, Abdul Ghaffar, Pakeeza Ashraf and Shah Room
Additional contact information
Abdul Salam Khan: NUST Business School, National University of Science and Technology, Islamabad 44000, Pakistan
Catalin Iulian Pruncu: Mechanical Engineering, Imperial College London, Exhibition Road, South Kensington, London SW7 2AZ, UK
Razaullah Khan: Department of Mechanical Engineering Technology, University of Technology, Nowshera 24100, Pakistan
Khawar Naeem: Department of Industrial Engineering, University of Engineering and Technology, Peshawar 25100, Pakistan
Abdul Ghaffar: Informatics Research Group, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
Pakeeza Ashraf: Department of Mathematics, Government Sadiq College Women University, 63100 Bahawalpur, Pakistan
Shah Room: Department of Civil Engineering Technology, University of Technology, 24100 Nowshera, Pakistan

Sustainability, 2020, vol. 12, issue 17, 1-28

Abstract: Closed-loop supply chain networks are gaining research popularity due to environmental, economic and social concerns. Such networks are primarily designed to overcome carbon footprints and to retrieve end of life products from customers. This study considers a multi echelon closed-loop supply chain in the presence of machine disruption. A multi-objective model is presented to optimize the total cost, the total time and emissions in a closed-loop supply chain network. The aim is to analyze the trade-off between the objectives of cost, time, and emissions and how these decisions are impacted by the selection of different available machines. A number of solution approaches are tested on a case study from the tire industry. The results suggest the improved performance of the hybrid heuristic and the importance of controlling disruption in a closed-loop supply chain network. Furthermore, there is a trade-off between the different objective functions which can help the decision maker to choose a particular solution according to the preference of an organization. Finally, conclusion and future research avenues are provided.

Keywords: closed-loop supply chain; energy efficiency; economic sustainability; environmental sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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