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Simulation of robotic courier deliveries in hospital distribution services

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  • Manuel Rossetti
  • Robin Felder
  • Amit Kumar

Abstract

Flexible automation in the form of robotic couriers holds the potential for decreasing operating costs while improving delivery performance in hospital delivery systems. This paper discusses the use of simulation modeling to analyze the costs, benefits, and performance tradeoffs related to the installation and use of a fleet of robotic couriers within hospital facilities. The results of this study enable a better understanding of the delivery and transportation requirements of hospitals. Specifically, we examine how a fleet of robotic couriers can meet the performance requirements of the system while maintaining cost efficiency. We show that for clinical laboratory and pharmaceutical deliveries a fleet of six robotic couriers can achieve significant performance gains in terms of turn-around time and delivery variability over the current system of three human couriers per shift or 13 FTEs. Specifically, the simulation results indicate that using robotic couriers to perform both clinical laboratory and pharmaceutical deliveries would result in a 34% decrease in turn-around time, and a 38% decrease in delivery variability. In addition, a break-even analysis indicated that a positive net present value occurs if nine or more FTEs are eliminated with a resulting ROI of 12%. This analysis demonstrates that simulation can be a valuable tool for examining health care distribution services and indicates that a robotic courier system may yield significant benefits over a traditional courier system in this application. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Manuel Rossetti & Robin Felder & Amit Kumar, 2000. "Simulation of robotic courier deliveries in hospital distribution services," Health Care Management Science, Springer, vol. 3(3), pages 201-213, June.
    • Handle: RePEc:kap:hcarem:v:3:y:2000:i:3:p:201-213
    DOI: 10.1023/A:1019049609350
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    Cited by:

    1. Amogh Bhosekar & Sandra Ekşioğlu & Tuğçe Işık & Robert Allen, 2023. "A discrete event simulation model for coordinating inventory management and material handling in hospitals," Annals of Operations Research, Springer, vol. 320(2), pages 603-630, January.
    2. Aziez, Imadeddine & Côté, Jean-François & Coelho, Leandro C., 2022. "Fleet sizing and routing of healthcare automated guided vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).

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