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

• Autorzy: Köse Erkan , Kokmazer Ahsen , Vural Danışment , Gökceoğlu Gökçe Gül , Şavlı Pınar

Identyfikatory

DOI

10.37190/ord230407

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

optimization; mathematical modeling; vehicle routing; simultaneous pickup problem; delivery problem

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2023
• Tom: Vol. 33, No. 4
• Strony: 119--131
• Opis fizyczny: Bibliogr. 33 poz., rys.

Twórcy

autor

Köse Erkan

• Department of Industrial Engineering, Nuh Naci Yazgan University, Kayseri, Turkey

autor

Kokmazer Ahsen

• Department of Industrial Engineering, Nuh Naci Yazgan University, Kayseri, Turkey

autor

Vural Danışment

• Department of Industrial Engineering, Atilim University, Ankara, Turkey

autor

Gökceoğlu Gökçe Gül

• Department of Industrial Engineering, Nuh Naci Yazgan University, Kayseri, Turkey

autor

Şavlı Pınar

• Department of Industrial Engineering, Nuh Naci Yazgan University, Kayseri, Turkey

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).