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Green hub location problem

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  • Dukkanci, Okan
  • Peker, Meltem
  • Kara, Bahar Y.

Abstract

This paper introduces the green hub location problem that finds the best locations for hubs, assignments of demand nodes to these hubs and speed of trucks/flights so as to route the demand between any origin-destination pairs. The aim of the service provider is to minimize the total amount of emissions that depends on vehicle speed and payload while routing the deliveries within a predetermined service time limit. In this study, we first propose a nonlinear model for this problem, which is then reformulated as a second order cone programming formulation. We strengthen the new model by using perspective reformulation approach. An extensive computational study on the CAB and TR datasets demonstrates the benefits of incorporating green transportation service activities to the classic hub location problems. We also provide insights for the carrier companies by analyzing the solutions with different discount factors, service time limits and number of hubs.

Suggested Citation

  • Dukkanci, Okan & Peker, Meltem & Kara, Bahar Y., 2019. "Green hub location problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 116-139.
    • Handle: RePEc:eee:transe:v:125:y:2019:i:c:p:116-139
    DOI: 10.1016/j.tre.2019.03.005
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    Cited by:

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    7. Arsalan Rahmani & Meysam Hosseini, 2022. "A time-dependent green location-routing problem with variable speed of vehicles," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 945-973, September.
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    13. Rahmati, Reza & Neghabi, Hossein & Bashiri, Mahdi & Salari, Majid, 2023. "Stochastic regional-based profit-maximizing hub location problem: A sustainable overview," Omega, Elsevier, vol. 121(C).
    14. Karimi-Mamaghan, Maryam & Mohammadi, Mehrdad & Pirayesh, Amir & Karimi-Mamaghan, Amir Mohammad & Irani, Hassan, 2020. "Hub-and-spoke network design under congestion: A learning based metaheuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    15. Elham Ziar & Mehdi Seifbarghy & Mahdi Bashiri & Benny Tjahjono, 2023. "An efficient environmentally friendly transportation network design via dry ports: a bi-level programming approach," Annals of Operations Research, Springer, vol. 322(2), pages 1143-1166, March.
    16. Erfan Babaee Tirkolaee & Alireza Goli & Abbas Mardani, 2023. "A novel two-echelon hierarchical location-allocation-routing optimization for green energy-efficient logistics systems," Annals of Operations Research, Springer, vol. 324(1), pages 795-823, May.
    17. Mrabti, Nassim & Hamani, Nadia & Boulaksil, Youssef & Amine Gargouri, Mohamed & Delahoche, Laurent, 2022. "A multi-objective optimization model for the problems of sustainable collaborative hub location and cost sharing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    18. Cavallaro, Federico & Nocera, Silvio & Sommacal, Giulia, 2021. "Appropriateness of the “small-scale corridor terminals” scheme for rail-road combined transport: Evidence from the Brenner axis," Research in Transportation Economics, Elsevier, vol. 88(C).
    19. Wang, Yong & Peng, Shouguo & Zhou, Xuesong & Mahmoudi, Monirehalsadat & Zhen, Lu, 2020. "Green logistics location-routing problem with eco-packages," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    20. Seda Hatipoğlu & Hazal Ergül & Ecem Yazıcı, 2024. "Selection of Secondary Hub Airport Location Based on Connectivity and Green Airport Solutions," Networks and Spatial Economics, Springer, vol. 24(2), pages 507-529, June.
    21. Alumur, Sibel A. & Campbell, James F. & Contreras, Ivan & Kara, Bahar Y. & Marianov, Vladimir & O’Kelly, Morton E., 2021. "Perspectives on modeling hub location problems," European Journal of Operational Research, Elsevier, vol. 291(1), pages 1-17.
    22. Xifeng Tang & Jiantao Wu & Rui Li, 2020. "Efficient Allocation of Customers to Facilities in the Multi-Objective Sustainable Location Problem," Sustainability, MDPI, vol. 12(18), pages 1-12, September.
    23. Conrado V. Plaza & Vanessa de A. Guimarães & Glaydston Ribeiro & Laura Bahiense, 2020. "Economic and environmental location of logistics integration centers: the Brazilian soybean transportation case," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 749-771, October.

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