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An integrated multi-objective model for disaster waste clean-up systems optimization

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  • Cheng, Cheng
  • Lu, Jia-Wei
  • Zhu, Rui
  • Xiao, Zuopeng
  • Costa, Alysson M.
  • Thompson, Russell G.

Abstract

Post-disaster waste clean-up systems are complex and expensive operations that need to consider multiple stakeholders with different objectives. We propose a mixed-integer programming model that models the waste clean-up operations as a two-echelon system. The model decides on the location of waste processing facilities, the use of demolition resources, and the number and type of vehicles to be assigned to each echelon at each time slot of the planning horizon. The objectives considered in the model include minimizing environmental impacts, economic costs, and total time spent on the operations. Numerical results obtained on a case study based on the '2009 Victoria Black Saturday Bush-fires' case and on synthetically generated instances are used to obtain Pareto frontiers. The research concludes that the three objectives considered are indeed conflictive, and the explicit consideration of each goal can help decision-makers find the best trade-off solutions.

Suggested Citation

  • Cheng, Cheng & Lu, Jia-Wei & Zhu, Rui & Xiao, Zuopeng & Costa, Alysson M. & Thompson, Russell G., 2022. "An integrated multi-objective model for disaster waste clean-up systems optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:transe:v:165:y:2022:i:c:s1366554522002484
    DOI: 10.1016/j.tre.2022.102867
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    1. Gemma Berenguer & Pinar Keskinocak & J. George Shanthikumar & Jayashankar M. Swaminathan & Luk Van Wassenhove & Álvaro Lorca & Melih Çelik & Özlem Ergun & Pınar Keskinocak, 2017. "An Optimization-Based Decision-Support Tool for Post-Disaster Debris Operations," Production and Operations Management, Production and Operations Management Society, vol. 26(6), pages 1076-1091, June.
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