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Cooperative Strategies in Two-Echelon Rescue Delivery Environment with Accessibility Uncertainty

Author

Listed:
  • Hanpeng Zhang

    (School of Business Administration, Southwestern University of Finance and Economics, Chengdu 610074, China)

  • Yuxin Wu

    (School of Business Administration, Southwestern University of Finance and Economics, Chengdu 610074, China)

  • Yi Liao

    (School of Business Administration, Southwestern University of Finance and Economics, Chengdu 610074, China)

  • Yuvraj Gajpal

    (Asper School of Business, University of Manitoba, 181 Freedman Crescent, Winnipeg, MB R3T 5V4, Canada)

Abstract

Cooperation between rescue teams is important to improve rescue performance. Vehicles outside of the disaster area usually deliver rescue resources. A two-echelon rescue delivery model is proposed, considering the isolated island of the disaster area where all the roads to the outside are interrupted. This paper first presents a non-cooperation scenario and then a cooperation scenario in an uncertain environment. Furthermore, two types of cooperative strategies to improve rescue performance are provided in the paper. The two cooperative strategies are a reactive cooperative strategy and an anticipatory cooperative strategy. Numerical experiments are used to evaluate the rescue performances of the two cooperation strategies by comparing them with the non-cooperation scenario. The results reveal that the anticipatory cooperative strategy performs the best in different cases varying in size.

Suggested Citation

  • Hanpeng Zhang & Yuxin Wu & Yi Liao & Yuvraj Gajpal, 2020. "Cooperative Strategies in Two-Echelon Rescue Delivery Environment with Accessibility Uncertainty," Sustainability, MDPI, vol. 12(13), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5333-:d:379068
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    References listed on IDEAS

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    1. Cruijssen, Frans & Cools, Martine & Dullaert, Wout, 2007. "Horizontal cooperation in logistics: Opportunities and impediments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(2), pages 129-142, March.
    2. Grangier, Philippe & Gendreau, Michel & Lehuédé, Fabien & Rousseau, Louis-Martin, 2016. "An adaptive large neighborhood search for the two-echelon multiple-trip vehicle routing problem with satellite synchronization," European Journal of Operational Research, Elsevier, vol. 254(1), pages 80-91.
    3. Cruijssen, F. & Braysy, O. & Dullaert, W. & Fleuren, H.A. & Salomon, M., 2006. "Joint Route Planning under Varying Market Conditions," Discussion Paper 2006-49, Tilburg University, Center for Economic Research.
    4. 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.
    5. 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.
    6. Fernández, Elena & Roca-Riu, Mireia & Speranza, M. Grazia, 2018. "The Shared Customer Collaboration Vehicle Routing Problem," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1078-1093.
    7. Ulrike Ritzinger & Jakob Puchinger & Richard F. Hartl, 2016. "A survey on dynamic and stochastic vehicle routing problems," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 215-231, January.
    8. 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.
    9. Novoa, Clara & Storer, Robert, 2009. "An approximate dynamic programming approach for the vehicle routing problem with stochastic demands," European Journal of Operational Research, Elsevier, vol. 196(2), pages 509-515, July.
    10. Goodson, Justin C. & Thomas, Barrett W. & Ohlmann, Jeffrey W., 2017. "A rollout algorithm framework for heuristic solutions to finite-horizon stochastic dynamic programs," European Journal of Operational Research, Elsevier, vol. 258(1), pages 216-229.
    11. Nilay Noyan & Burcu Balcik & Semih Atakan, 2016. "A Stochastic Optimization Model for Designing Last Mile Relief Networks," Transportation Science, INFORMS, vol. 50(3), pages 1092-1113, August.
    12. Gansterer, Margaretha & Hartl, Richard F., 2018. "Collaborative vehicle routing: A survey," European Journal of Operational Research, Elsevier, vol. 268(1), pages 1-12.
    13. Liu, Tian & Luo, Zhixing & Qin, Hu & Lim, Andrew, 2018. "A branch-and-cut algorithm for the two-echelon capacitated vehicle routing problem with grouping constraints," European Journal of Operational Research, Elsevier, vol. 266(2), pages 487-497.
    14. Li, Hongqi & Zhang, Lu & Lv, Tan & Chang, Xinyu, 2016. "The two-echelon time-constrained vehicle routing problem in linehaul-delivery systems," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 169-188.
    15. Guido Perboli & Roberto Tadei & Daniele Vigo, 2011. "The Two-Echelon Capacitated Vehicle Routing Problem: Models and Math-Based Heuristics," Transportation Science, INFORMS, vol. 45(3), pages 364-380, August.
    16. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline M. & Bektaş, Tolga, 2015. "The time-dependent two-echelon capacitated vehicle routing problem with environmental considerations," International Journal of Production Economics, Elsevier, vol. 164(C), pages 366-378.
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