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Simultaneous pickup and delivery model suggestion for personnel transportation in COVID-19 pandemic conditions

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  • Erkan Köse
  • Ahsen Korkmazer
  • Danışment Vural
  • Gökçe Gül Gökceoğlu
  • Pınar Şavlı

Abstract

The impact of COVID-19 on the transportation costs of a large-scale company has been examined. Before the pandemic, shift personnel were transported to the factory by shuttles, and after a quick shift change, other shift personnel were transported back to their homes. However, with the implementation of laws mandating the reduction of shuttle seat capacities, transportation costs have risen significantly. To address this issue, a new simultaneous pickup and delivery model is proposed as an alternative to the separate transportation of shift workers. The results of this study indicate that the proposed model provides a substantial advantage in terms of both the number of vehicles used and the total distance traveled, leading to a significant reduction in costs. This research underscores the importance of effective operations research practices for the profitability of companies, particularly in extraordinary circumstances such as the COVID-19 pandemic.

Suggested Citation

  • Erkan Köse & Ahsen Korkmazer & Danışment Vural & Gökçe Gül Gökceoğlu & Pınar Şavlı, 2023. "Simultaneous pickup and delivery model suggestion for personnel transportation in COVID-19 pandemic conditions," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(4), pages 119-131.
  • Handle: RePEc:wut:journl:v:33:y:2023:i:4:p:119-131:id:7
    DOI: 10.37190/ord230407
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    References listed on IDEAS

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    1. G. B. Dantzig & J. H. Ramser, 1959. "The Truck Dispatching Problem," Management Science, INFORMS, vol. 6(1), pages 80-91, October.
    2. Danışment Vural & Robert F. Dell & Erkan Kose, 2021. "Locating unmanned aircraft systems for multiple missions under different weather conditions," Operational Research, Springer, vol. 21(1), pages 725-744, March.
    3. Radosław Jadczak, 2005. "Solving Vehicle Routing Problems with evolutionary algorithms," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 15(3-4), pages 7-22.
    4. Kebing Chen & Tiaojun Xiao & Shengbin Wang & Dong Lei, 2021. "Inventory strategies for perishable products with two-period shelf-life and lost sales," International Journal of Production Research, Taylor & Francis Journals, vol. 59(17), pages 5301-5320, September.
    5. Nagy, Gabor & Salhi, Said, 2005. "Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries," European Journal of Operational Research, Elsevier, vol. 162(1), pages 126-141, April.
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