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A multi-cover routing problem for planning rapid needs assessment under different information-sharing settings

Author

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  • Duygu Pamukcu

    (Virginia Polytechnic Institute and State University)

  • Burcu Balcik

    (Ozyegin University)

Abstract

In this paper, we introduce a multi-cover routing problem (MCRP), which is motivated by post-disaster rapid needs assessment operations performed to evaluate the impact of the disaster on different affected community groups. Given a set of sites, each carrying at least one community group of interest, the problem involves selecting the sites to be visited and constructing the routes. In practice, each community group is observed multiple times at different sites to make reliable evaluations; therefore, the MCRP ensures that pre-specified coverage targets are met for all community groups within the shortest time. Moreover, we assume that the completion time of the assessment operations depends on the information-sharing setting in the field, which depends on the availability of information and communication technologies (ICT). Specifically, if remote communication is possible, each assessment team can share its findings with the central coordinator immediately after completing the site visits; otherwise, all teams must return to the origin point to share information and finalize the assessments. To address these different information-sharing settings, we define two MCRP variants with different objectives and present alternative formulations for these variants. We propose two constructive heuristics and a tabu search algorithm to solve the MCRP, and conduct an extensive computational study to evaluate the performance of our heuristics with respect to different benchmark solutions. Our results show that the proposed tabu search algorithm can achieve high-quality solutions for both MCRP variants quickly. The results also highlight the importance of considering the availability of ICT in the field while devising assessment plans.

Suggested Citation

  • Duygu Pamukcu & Burcu Balcik, 2020. "A multi-cover routing problem for planning rapid needs assessment under different information-sharing settings," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 1-42, March.
  • Handle: RePEc:spr:orspec:v:42:y:2020:i:1:d:10.1007_s00291-019-00563-y
    DOI: 10.1007/s00291-019-00563-y
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    References listed on IDEAS

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    1. Michel Gendreau & Alain Hertz & Gilbert Laporte, 1994. "A Tabu Search Heuristic for the Vehicle Routing Problem," Management Science, INFORMS, vol. 40(10), pages 1276-1290, October.
    2. Pereira Coutinho, Walton & Fliege, Jörg & Battarra, Maria, 2019. "Glider Routing and Trajectory Optimisation in disaster assessment," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1138-1154.
    3. Oruc, Buse Eylul & Kara, Bahar Yetis, 2018. "Post-disaster assessment routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 76-102.
    4. Hanif D. Sherali & Patrick J. Driscoll, 2002. "On Tightening the Relaxations of Miller-Tucker-Zemlin Formulations for Asymmetric Traveling Salesman Problems," Operations Research, INFORMS, vol. 50(4), pages 656-669, August.
    5. Balcik, Burcu, 2017. "Site selection and vehicle routing for post-disaster rapid needs assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 30-58.
    6. Benedikte Bjerge & Nathan Clark & Peter Fisker & Emmanuel Raju, 2016. "Technology and Information Sharing in Disaster Relief," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-20, September.
    7. G. Dantzig & R. Fulkerson & S. Johnson, 1954. "Solution of a Large-Scale Traveling-Salesman Problem," Operations Research, INFORMS, vol. 2(4), pages 393-410, November.
    8. de la Torre, Luis E. & Dolinskaya, Irina S. & Smilowitz, Karen R., 2012. "Disaster relief routing: Integrating research and practice," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 88-97.
    9. Julien Bramel & David Simchi-Levi, 1995. "A Location Based Heuristic for General Routing Problems," Operations Research, INFORMS, vol. 43(4), pages 649-660, August.
    10. Laporte, Gilbert, 1992. "The traveling salesman problem: An overview of exact and approximate algorithms," European Journal of Operational Research, Elsevier, vol. 59(2), pages 231-247, June.
    11. Bektaş, Tolga & Gouveia, Luis, 2014. "Requiem for the Miller–Tucker–Zemlin subtour elimination constraints?," European Journal of Operational Research, Elsevier, vol. 236(3), pages 820-832.
    12. Ann Melissa Campbell & Dieter Vandenbussche & William Hermann, 2008. "Routing for Relief Efforts," Transportation Science, INFORMS, vol. 42(2), pages 127-145, May.
    13. Özdamar, Linet & Ertem, Mustafa Alp, 2015. "Models, solutions and enabling technologies in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 244(1), pages 55-65.
    14. Ulrich Pferschy & Rostislav Staněk, 2017. "Generating subtour elimination constraints for the TSP from pure integer solutions," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 231-260, March.
    15. Huang, Michael & Smilowitz, Karen R. & Balcik, Burcu, 2013. "A continuous approximation approach for assessment routing in disaster relief," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 20-41.
    16. Chao, I-Ming & Golden, Bruce L. & Wasil, Edward A., 1996. "The team orienteering problem," European Journal of Operational Research, Elsevier, vol. 88(3), pages 464-474, February.
    17. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
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    Cited by:

    1. Eren Atsiz & Burcu Balcik & Dilek Gunnec & Busra Uydasoglu Sevindik, 2022. "A coordinated repair routing problem for post-disaster recovery of interdependent infrastructure networks," Annals of Operations Research, Springer, vol. 319(1), pages 41-71, December.
    2. Mohammadmehdi Hakimifar & Vera C. Hemmelmayr & Fabien Tricoire, 2022. "A Bi-Objective Field-Visit Planning Problem for Rapid Needs Assessment under Travel-Time Uncertainty," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    3. Mohammadmehdi Hakimifar & Vera C. Hemmelmayr & Fabien Tricoire, 2023. "A lexicographic maximin approach to the selective assessment routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 205-249, March.
    4. Lorena Reyes-Rubiano & Jana Voegl & Klaus-Dieter Rest & Javier Faulin & Patrick Hirsch, 2021. "Exploration of a disrupted road network after a disaster with an online routing algorithm," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 289-326, March.
    5. Mohammadmehdi Hakimifar & Burcu Balcik & Christian Fikar & Vera Hemmelmayr & Tina Wakolbinger, 2022. "Evaluation of field visit planning heuristics during rapid needs assessment in an uncertain post-disaster environment," Annals of Operations Research, Springer, vol. 319(1), pages 517-558, December.

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