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Vehicle routing for the urgent delivery of face shields during the COVID-19 pandemic

Author

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  • Joaquín Pacheco

    (University of Burgos)

  • Manuel Laguna

    (University of Colorado Boulder)

Abstract

The speed by which the COVID-19 pandemic spread throughout the world caught some national and local governments unprepared. Healthcare systems found themselves struggling to increase capacity and procure key supplies, such as personal protective equipment. Protective face shields became essential for healthcare professionals. However, most hospitals and healthcare facilities did not have them in adequate quantities. The urgency of producing and delivering face shields increased as the number of COVID-19 cases rapidly multiplied. This was the situation that we encountered in the city and province of Burgos (Spain). Since there was no time to wait for a large manufacturer to produce face shields, private citizens and small companies volunteered to make them using technologies such as 3D printers. Nonprofits, citizens, and governments agencies volunteered to deliver materials to the face shield makers and to pick up and deliver the face shields to health centers and other locations where they were needed. This resulted in a vehicle routing problem with some special characteristics that made it different from models used for commercial purposes. We describe the development of a heuristic to find feasible and efficient routes for this problem. We highlight the advantages of using heuristics in an emergency context like the one triggered by the COVID-19 pandemic. In particular, the heuristic approach allowed us to design, implement, test, and delivery a routing system in less than 1 week from the time that the local government contacted us with what they described as a logistics nightmare.

Suggested Citation

  • Joaquín Pacheco & Manuel Laguna, 2020. "Vehicle routing for the urgent delivery of face shields during the COVID-19 pandemic," Journal of Heuristics, Springer, vol. 26(5), pages 619-635, October.
    • Handle: RePEc:spr:joheur:v:26:y:2020:i:5:d:10.1007_s10732-020-09456-8
    DOI: 10.1007/s10732-020-09456-8
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    References listed on IDEAS

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    1. Jin Qin & Yong Ye & Bi-rong Cheng & Xiaobo Zhao & Linling Ni, 2017. "The Emergency Vehicle Routing Problem with Uncertain Demand under Sustainability Environments," Sustainability, MDPI, vol. 9(2), pages 1-24, February.
    2. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    3. Yinglei Li & Sung Hoon Chung, 2019. "Disaster relief routing under uncertainty: A robust optimization approach," IISE Transactions, Taylor & Francis Journals, vol. 51(8), pages 869-886, August.
    4. Wohlgemuth, Sascha & Oloruntoba, Richard & Clausen, Uwe, 2012. "Dynamic vehicle routing with anticipation in disaster relief," Socio-Economic Planning Sciences, Elsevier, vol. 46(4), pages 261-271.
    5. Ann Melissa Campbell & Dieter Vandenbussche & William Hermann, 2008. "Routing for Relief Efforts," Transportation Science, INFORMS, vol. 42(2), pages 127-145, May.
    6. Jozefowiez, Nicolas & Semet, Frédéric & Talbi, El-Ghazali, 2009. "An evolutionary algorithm for the vehicle routing problem with route balancing," European Journal of Operational Research, Elsevier, vol. 195(3), pages 761-769, June.
    7. Joaquín Pacheco & Rafael Caballero & Manuel Laguna & Julián Molina, 2013. "Bi-Objective Bus Routing: An Application to School Buses in Rural Areas," Transportation Science, INFORMS, vol. 47(3), pages 397-411, August.
    8. Fred Glover, 1990. "Tabu Search—Part II," INFORMS Journal on Computing, INFORMS, vol. 2(1), pages 4-32, February.
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    Cited by:

    1. Andrés Martínez-Reyes & Carlos L. Quintero-Araújo & Elyn L. Solano-Charris, 2021. "Supplying Personal Protective Equipment to Intensive Care Units during the COVID-19 Outbreak in Colombia. A Simheuristic Approach Based on the Location-Routing Problem," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    2. Keyong Lin & S. Nurmaya Musa & Hwa Jen Yap, 2022. "Vehicle Routing Optimization for Pandemic Containment: A Systematic Review on Applications and Solution Approaches," Sustainability, MDPI, vol. 14(4), pages 1-27, February.
    3. Lijing Du & Xiaohuan Li & Yuan Gan & Kaijun Leng, 2022. "Optimal Model and Algorithm of Medical Materials Delivery Drone Routing Problem under Major Public Health Emergencies," Sustainability, MDPI, vol. 14(8), pages 1-17, April.

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