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Collaboration and Resource Sharing in the Multidepot Multiperiod Vehicle Routing Problem with Pickups and Deliveries

Author

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  • Yong Wang

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Qin Li

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Xiangyang Guan

    (Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA)

  • Jianxin Fan

    (School of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yong Liu

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Haizhong Wang

    (School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97330, USA)

Abstract

In this work, a multidepot multiperiod vehicle routing problem with pickups and deliveries (MDPVRPPD) is solved by optimizing logistics networks with collaboration and resource sharing among logistics service providers. The optimal solution can satisfy customer demands with periodic time characteristics and incorporate pickup and delivery services with maximum resource utilization. A collaborative mechanism is developed to rearrange both the open and closed vehicle routes among multiple pickup and delivery centers with improved transportation efficiency and reduced operational costs. The effects of resource sharing strategies combining customer information sharing, facility service sharing, and vehicle sharing are investigated across multiple service periods to maximize resource utilization and refine the resource configuration. A multiobjective optimization model is developed to formulate the MDPVRPPD so that the minimum total operational costs, waiting time, and the number of vehicles are obtained. A hybrid heuristic algorithm incorporating a 3D clustering and an improved multiobjective particle swarm optimization (IMOPSO) algorithm is introduced to solve the MDPVRPPD and find Pareto optimal solutions. The proposed hybrid heuristic algorithm is based on a selective exchange mechanism that enhances local and global searching capabilities. Results demonstrate that the proposed IMOPSO outperforms other existing algorithms. We also study profit allocation issues to quantify the stability and sustainability of long-term collaboration among logistics participants, using the minimum costs remaining savings method. The proposed model and solution methods are validated by conducting an empirical study of a real system in Chongqing City, China. This study contributes to the development of efficient urban logistics distribution systems, and facilitates the expansion of intelligent and sustainable supply chains.

Suggested Citation

  • Yong Wang & Qin Li & Xiangyang Guan & Jianxin Fan & Yong Liu & Haizhong Wang, 2020. "Collaboration and Resource Sharing in the Multidepot Multiperiod Vehicle Routing Problem with Pickups and Deliveries," Sustainability, MDPI, vol. 12(15), pages 1-33, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:5966-:d:389035
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    References listed on IDEAS

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    1. Thibaut Vidal & Teodor Gabriel Crainic & Michel Gendreau & Nadia Lahrichi & Walter Rei, 2012. "A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems," Operations Research, INFORMS, vol. 60(3), pages 611-624, June.
    2. Vanovermeire, Christine & Sörensen, Kenneth, 2014. "Measuring and rewarding flexibility in collaborative distribution, including two-partner coalitions," European Journal of Operational Research, Elsevier, vol. 239(1), pages 157-165.
    3. Kalayci, Can B. & Kulak, Osman & Günther, Hans-Otto, 2015. "A perturbation based variable neighborhood search heuristic for solving the Vehicle Routing Problem with Simultaneous Pickup and Delivery with Time LimitAuthor-Name: Polat, Olcay," European Journal of Operational Research, Elsevier, vol. 242(2), pages 369-382.
    4. Yong Wang & Shouguo Peng & Kevin Assogba & Yong Liu & Haizhong Wang & Maozeng Xu & Yinhai Wang, 2018. "Implementation of Cooperation for Recycling Vehicle Routing Optimization in Two-Echelon Reverse Logistics Networks," Sustainability, MDPI, vol. 10(5), pages 1-27, April.
    5. Guajardo, Mario & Rönnqvist, Mikael, 2015. "Operations research models for coalition structure in collaborative logistics," European Journal of Operational Research, Elsevier, vol. 240(1), pages 147-159.
    6. Lotte Verdonck & AN Caris & Katrien Ramaekers & Gerrit K. Janssens, 2013. "Collaborative Logistics from the Perspective of Road Transportation Companies," Transport Reviews, Taylor & Francis Journals, vol. 33(6), pages 700-719, November.
    7. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    8. Li, Yuan & Chen, Haoxun & Prins, Christian, 2016. "Adaptive large neighborhood search for the pickup and delivery problem with time windows, profits, and reserved requests," European Journal of Operational Research, Elsevier, vol. 252(1), pages 27-38.
    9. Mengdi Zhang & Saurabh Pratap & George Q. Huang & Zhiheng Zhao, 2017. "Optimal collaborative transportation service trading in B2B e-commerce logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 55(18), pages 5485-5501, September.
    10. Yanjie Zhou & Gyu M. Lee, 2017. "A Lagrangian Relaxation-Based Solution Method for a Green Vehicle Routing Problem to Minimize Greenhouse Gas Emissions," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    11. Raith, Andrea & Schmidt, Marie & Schöbel, Anita & Thom, Lisa, 2018. "Multi-objective minmax robust combinatorial optimization with cardinality-constrained uncertainty," European Journal of Operational Research, Elsevier, vol. 267(2), pages 628-642.
    12. Sprenger, Ralf & Mönch, Lars, 2012. "A methodology to solve large-scale cooperative transportation planning problems," European Journal of Operational Research, Elsevier, vol. 223(3), pages 626-636.
    13. Yong Wang & Yingying Yuan & Xiangyang Guan & Haizhong Wang & Yong Liu & Maozeng Xu, 2019. "Collaborative Mechanism for Pickup and Delivery Problems with Heterogeneous Vehicles under Time Windows," Sustainability, MDPI, vol. 11(12), pages 1-30, June.
    14. Yanik, Seda & Bozkaya, Burcin & deKervenoael, Ronan, 2014. "A new VRPPD model and a hybrid heuristic solution approach for e-tailing," European Journal of Operational Research, Elsevier, vol. 236(3), pages 879-890.
    15. Luo, Zhixing & Qin, Hu & Che, ChanHou & Lim, Andrew, 2015. "On service consistency in multi-period vehicle routing," European Journal of Operational Research, Elsevier, vol. 243(3), pages 731-744.
    16. Hongguo Ren & Zhenbao Wang & Yanyan Chen, 2020. "Optimal Express Bus Routes Design with Limited-Stop Services for Long-Distance Commuters," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    17. Agustín Montero & Juan José Miranda-Bront & Isabel Méndez-Díaz, 2017. "An ILP-based local search procedure for the VRP with pickups and deliveries," Annals of Operations Research, Springer, vol. 259(1), pages 327-350, December.
    18. Ho, Sin C. & Szeto, W.Y., 2017. "A hybrid large neighborhood search for the static multi-vehicle bike-repositioning problem," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 340-363.
    19. Esmaeili, Mobin & Sedighizadeh, Mostafa & Esmaili, Masoud, 2016. "Multi-objective optimal reconfiguration and DG (Distributed Generation) power allocation in distribution networks using Big Bang-Big Crunch algorithm considering load uncertainty," Energy, Elsevier, vol. 103(C), pages 86-99.
    20. Defryn, Christof & Sörensen, Kenneth & Cornelissens, Trijntje, 2016. "The selective vehicle routing problem in a collaborative environment," European Journal of Operational Research, Elsevier, vol. 250(2), pages 400-411.
    21. Fatnassi, Ezzeddine & Chaouachi, Jouhaina & Klibi, Walid, 2015. "Planning and operating a shared goods and passengers on-demand rapid transit system for sustainable city-logistics," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 440-460.
    22. Dayarian, Iman & Crainic, Teodor Gabriel & Gendreau, Michel & Rei, Walter, 2016. "An adaptive large-neighborhood search heuristic for a multi-period vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 95-123.
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    Cited by:

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    2. Yong Wang & Jingxin Zhou & Yaoyao Sun & Xiuwen Wang & Jiayi Zhe & Haizhong Wang, 2022. "Electric Vehicle Charging Station Location-Routing Problem with Time Windows and Resource Sharing," Sustainability, MDPI, vol. 14(18), pages 1-31, September.
    3. Huang Huang & Xinwei Cuan & Zhuo Chen & Lina Zhang & Hao Chen, 2023. "A Multiregional Agricultural Machinery Scheduling Method Based on Hybrid Particle Swarm Optimization Algorithm," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    4. Yong Wang & Jiayi Zhe & Xiuwen Wang & Yaoyao Sun & Haizhong Wang, 2022. "Collaborative Multidepot Vehicle Routing Problem with Dynamic Customer Demands and Time Windows," Sustainability, MDPI, vol. 14(11), pages 1-37, May.
    5. Yang Xia & Wenjia Zeng & Xinjie Xing & Yuanzhu Zhan & Kim Hua Tan & Ajay Kumar, 2023. "Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing," Annals of Operations Research, Springer, vol. 327(1), pages 89-127, August.

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