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Modelling a closed-loop supply chain with a heterogeneous fleet under carbon emission reduction policy

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  • De, Manoranjan
  • Giri, B.C.

Abstract

The paper studies a closed loop supply chain (CLSC) focusing on managing, scheduling and routing problems to achieve economical and environmental sustainability. Generally, a logistic based green supply chain is studied to help multiple stakeholders. Here, we investigate the CLSC to reduce the total transportation cost including carbon emission from a heterogeneous fleet with limited capacity. The forward chain includes manufacturers, depots, distributors/collectors and customers. In the reverse chain, the distributors collect the returned items and sort into three groups through quality-screening and send them to the secondary chain facilities (emerging markets or decomposition centres) which one is fitted. This investigation is contributed by all the demonstrating issues through considering customers’ demand, an extensive emission display and the vulnerability of an expanded convey of vehicles. The proposed model addresses four distinct environmental policies viz. cap, carbon tax, cap-and-purchase and cap-and-sale for carbon emission regulations. The model is formulated in the framework of mixed integer non-linear programming (MINLP), and an exact approach is employed to obtain the optimal solution. The theoretical results of the model are verified through numerical examples. A comprehensive analysis is presented to monitor the rate of return products and various fleet transporting parameters.

Suggested Citation

  • De, Manoranjan & Giri, B.C., 2020. "Modelling a closed-loop supply chain with a heterogeneous fleet under carbon emission reduction policy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    • Handle: RePEc:eee:transe:v:133:y:2020:i:c:s1366554519304806
    DOI: 10.1016/j.tre.2019.11.007
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    References listed on IDEAS

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    1. Cheng, Chun & Yang, Peng & Qi, Mingyao & Rousseau, Louis-Martin, 2017. "Modeling a green inventory routing problem with a heterogeneous fleet," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 97-112.
    2. Hua, Guowei & Cheng, T.C.E. & Wang, Shouyang, 2011. "Managing carbon footprints in inventory management," International Journal of Production Economics, Elsevier, vol. 132(2), pages 178-185, August.
    3. Zhalechian, M. & Tavakkoli-Moghaddam, R. & Zahiri, B. & Mohammadi, M., 2016. "Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 182-214.
    4. Cheng, Chun & Qi, Mingyao & Wang, Xingyi & Zhang, Ying, 2016. "Multi-period inventory routing problem under carbon emission regulations," International Journal of Production Economics, Elsevier, vol. 182(C), pages 263-275.
    5. Mallidis, Ioannis & Dekker, Rommert & Vlachos, Dimitrios, 2012. "The impact of greening on supply chain design and cost: a case for a developing region," Journal of Transport Geography, Elsevier, vol. 22(C), pages 118-128.
    6. Mirzapour Al-e-hashem, S.M.J. & Rekik, Yacine, 2014. "Multi-product multi-period Inventory Routing Problem with a transshipment option: A green approach," International Journal of Production Economics, Elsevier, vol. 157(C), pages 80-88.
    7. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "A review of recent research on green road freight transportation," European Journal of Operational Research, Elsevier, vol. 237(3), pages 775-793.
    8. Micheli, Guido J.L. & Mantella, Fabio, 2018. "Modelling an environmentally-extended inventory routing problem with demand uncertainty and a heterogeneous fleet under carbon control policies," International Journal of Production Economics, Elsevier, vol. 204(C), pages 316-327.
    9. Gao, Jingzhe & Xiao, Zhongdong & Cao, Binbin & Chai, Qiangfei, 2018. "Green supply chain planning considering consumer’s transportation process," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 311-330.
    10. Dekker, Rommert & Bloemhof, Jacqueline & Mallidis, Ioannis, 2012. "Operations Research for green logistics – An overview of aspects, issues, contributions and challenges," European Journal of Operational Research, Elsevier, vol. 219(3), pages 671-679.
    11. Seyed Mohammad Javad Mirzapour Al-E-Hashem & Yacine Rekik, 2014. "Multi-product multi-period inventory routing problem with a transshipment option : A green approach," Post-Print hal-02313081, HAL.
    12. Barth, Matthew & Younglove, Theodore & Scora, George, 2005. "Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt67f0v3zf, Institute of Transportation Studies, UC Berkeley.
    13. Rahimi, Mohammad & Baboli, Armand & Rekik, Yacine, 2017. "Multi-objective inventory routing problem: A stochastic model to consider profit, service level and green criteria," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 59-83.
    14. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline M. & Haijema, Rene & van der Vorst, Jack G.A.J., 2015. "Modeling an Inventory Routing Problem for perishable products with environmental considerations and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 164(C), pages 118-133.
    15. Gopalakrishnan Easwaran & Halit Üster, 2010. "A closed-loop supply chain network design problem with integrated forward and reverse channel decisions," IISE Transactions, Taylor & Francis Journals, vol. 42(11), pages 779-792.
    16. Mohammad Rahimi & Armand Baboli & Yacine Rekik, 2017. "Multi-objective inventory routing problem : A stochastic model to consider profit, service level and green criteria," Post-Print hal-02311993, HAL.
    17. Chaabane, A. & Ramudhin, A. & Paquet, M., 2012. "Design of sustainable supply chains under the emission trading scheme," International Journal of Production Economics, Elsevier, vol. 135(1), pages 37-49.
    18. Michael Hanemann, 2010. "Cap-and-trade: a sufficient or necessary condition for emission reduction?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(2), pages 225-252, Summer.
    19. Sun, Wei & Yu, Yang & Wang, Junwei, 2019. "Heterogeneous vehicle pickup and delivery problems: Formulation and exact solution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 181-202.
    20. Haddadsisakht, Ali & Ryan, Sarah M., 2018. "Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax," International Journal of Production Economics, Elsevier, vol. 195(C), pages 118-131.
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