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Controlling Waste and Carbon Emission for a Sustainable Closed-Loop Supply Chain Management under a Cap-and-Trade Strategy

Author

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  • Mowmita Mishra

    (Department of Mathematics, Kazi Nazrul University, Asansol 713340, West Bengal, India)

  • Soumya Kanti Hota

    (Department of Mathematics, Kazi Nazrul University, Asansol 713340, West Bengal, India
    Department of Mathematics, Debra Thana Sahid Kshudiram Smriti Mahavidyalaya, Gangaramchak, Chakshyampur, Debra, Paschim Medinipur, West Bengal 721124, India)

  • Santanu Kumar Ghosh

    (Department of Mathematics, Kazi Nazrul University, Asansol 713340, West Bengal, India)

  • Biswajit Sarkar

    (Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, Korea)

Abstract

Considering the increasing number of end-of-life goods in the context of improving the ambience and health of a population and their destructive impacts, recycling strategies are important for industries and organizations. In this article, a closed-loop supply chain management containing a single manufacturer, a single retailer, and a third party is introduced in which the manufacturer first propagates newly finished goods and then dispatches some of the finished goods to the retailer considering a single-setup multi-delivery policy. Due to shipping, carbon emission is taken into account as well as a carbon emission trading mechanism to curb the amount of carbon emissions by the retailer. For recycling through collection, inspection, remanufacturing, and landfill, the third party collects the end-of-life goods from its customers and ships perfect products to the manufacturer after a two-stage inspection. In this model, major sources of emissions such as shipping, replenishment orders, and inventory have been taken care of. The minimizing of the total cost relating to the container capacity, shipment numbers, and replenishment cycle length is the main objective of the closed-loop supply chain management for making the system more profitable. Expository numerical explorations, analysis, and graphic representations are conferred to elucidate this model, and it is observed that this model saves some percentage of the cost compared to the existing literature.

Suggested Citation

  • Mowmita Mishra & Soumya Kanti Hota & Santanu Kumar Ghosh & Biswajit Sarkar, 2020. "Controlling Waste and Carbon Emission for a Sustainable Closed-Loop Supply Chain Management under a Cap-and-Trade Strategy," Mathematics, MDPI, vol. 8(4), pages 1-24, March.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:4:p:466-:d:337909
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    References listed on IDEAS

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    3. Sonu Rajak & K. E. K. Vimal & Sricharan Arumugam & Jagadesan Parthiban & Swesh Kannan Sivaraman & Jayakrishna Kandasamy & Angel Acevedo Duque, 2022. "Multi-objective mixed-integer linear optimization model for sustainable closed-loop supply chain network: a case study on remanufacturing steering column," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6481-6507, May.
    4. Marco Mele & Cosimo Magazzino & Nicolas Schneider & Antonia Rosa Gurrieri & Hêriş Golpira, 2022. "Innovation, income, and waste disposal operations in Korea: evidence from a spectral granger causality analysis and artificial neural networks experiments," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 427-459, July.

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