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Research Article | Open Access

An environmental decision support system for manufacturer-retailer within a closed-loop supply chain management using remanufacturing

Subhash Kumar1Ashok Kumar2Rekha Guchhait3Biswajit Sarkar3,4( )
Department of Mathematics, DAV (PG) College, Maharaja Suhel Dev State University, Azamgarh, Uttar Pradesh 276001, India
Department of Mathematics, Meerut College Meerut, Uttar Pradesh 250003, India
Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, South Korea
Center for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu 600077, India
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Abstract

Industries face many challenges when emergencies arise. In emergency, there is an increasing demand for self-administered products that are easy to use. The decay rate of these products decreases with time. Moreover, the lack of disposal of used products increases waste and carbon emissions. By observing the scenario, this study develops a closed-loop supply chain management that considers the collection and remanufacturing of used products. The manufacturing rate is linear and the demand is ramp-type and carbon emissions dependent. The model is solved by a classical optimization and calculates the optimal total cost. The results show that the retailer can handle a shortage situation when the demand becomes stable (Case 2) and the total cost increases with the production rate. A sensitivity analysis shows the changes in the total cost with respect to the parameters.

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AIMS Environmental Science
Pages 644-676

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Cite this article:
Kumar S, Kumar A, Guchhait R, et al. An environmental decision support system for manufacturer-retailer within a closed-loop supply chain management using remanufacturing. AIMS Environmental Science, 2023, 10(5): 644-676. https://doi.org/10.3934/environsci.2023036

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Received: 09 January 2023
Revised: 09 October 2023
Accepted: 17 October 2023
Published: 15 October 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)