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Simulation of robotic courier deliveries in hospital distribution services

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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.

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References

  1. Health Care Investment Analysts, Inc., The Comparative Performance of U.S. Hospitals: The Sourcebook (Health Care Investment Analysts, Baltimore, MD, Deloitte & Touche, Chicago, IL, 1999).

    Google Scholar 

  2. J. Evans, Helpmate: an autonomous mobile robot courier for hospitals, Proceedings IROS (1994).

  3. J. Evans, B. Krishnamurthy, B. Barrows, T. Skewis and V. Lumelsky, Handling real-world motion planning: a hospital transport robot, IEEE Control Systems 12(1) (1992) 15–20.

    Article  Google Scholar 

  4. G.J. Kost, ed., Handbook of Clinical Automation, Robotics, and Optimization (Wiley, New York, 1996).

    Google Scholar 

  5. T. Ganesharajah, N.G. Hall and C. Sriskandarajah, Design and operational issues in AGV-served manufacturing systems, Annals of Operations Research 76 (1998) 109–154.

    Article  Google Scholar 

  6. R.J. Gaskins and J.M.A. Tanchoco, Flow path design for automated guided vehicle systems, International Journal for Production Research 25(5) (1987) 667–676.

    Google Scholar 

  7. M.C. de-Guzman, N. Prabhu and J.M.A. Tanchoco, Complexity of the AGV shortest path and single-loop guide path layout problems, International Journal of Production Research 35(8) (1997) 2083–2092.

    Article  Google Scholar 

  8. S.C. Park, N. Raman and M.J. Shaw, Heuristic learning for pattern directed scheduling in a flexible manufacturing system, in: Proceedings of the 3rd ORSA/TIMS Conference on Flexible Manufacturing Systems: Operations Models and Applications, eds. K.E. Stecke and R. Suri (Elsevier, Amsterdam, 1989) pp. 369–376.

    Google Scholar 

  9. H. Hwang and S.H. Kim, Development of dispatching rules for automated guided vehicle systems, Journal of Manufacturing Systems 17(2) (1998) 137–143.

    Article  Google Scholar 

  10. F. Taghaboni-Dutta, A value-added approach for automated guided vehicle task assignment, Journal of Manufacturing Systems 16(1) (1997) 24–34.

    Google Scholar 

  11. S.L. Gobal and R.G. Kasilingam, A simulation model for estimating vehicle requirements in automated guided vehicle systems, Computers and Industrial Engineering 21 (1991) 623–627.

    Article  Google Scholar 

  12. J. Lee, R. Hoo-Gon-Choi and M. Khaksar, Evaluation of automated guided vehicle systems by simulation, Computers and Industrial Engineering 19(1-4) (1990) 318–321.

    Article  Google Scholar 

  13. A. Thesen and L. Lei, An ‘Expert’ system for scheduling robots in a flexible electroplating system with dynamically changing workloads, in: Proceedings of the 2nd ORSA/TIMS Conference on Flexible Manufacturing Systems: Operations Models and Applications, eds. K.E. Stecke and R. Suri (Elsevier, Amsterdam, 1986) pp. 555–566.

    Google Scholar 

  14. O.M. Ñlgen and P. Kedia, Using simulation in design of a cellular assembly plant with automatic guided vehicles, in: Proceedings of the 1990 Winter Simulation Conference, eds. O. Balci, R.P. Sadowski and R.E. Nance (1990) pp. 683–691.

  15. K. Prasad and M. Rangaswami, Analysis of different AGV control systems in an integrated ic manufacturing facility using computersimulation, in: Proceedings of the 1988 Winter Simulation Conference (1988) pp. 568–574.

  16. D. Newton, Simulation model helps determine how many automatic guided vehicles are needed, Industrial Engineering 17(2) (1985) 68–79.

    Google Scholar 

  17. J. Egbelu Pius, The use of non-simulation approaches in estimating vehicle requirements in an automated guided vehicle based transportationsystem, in: Material Flow (Elsevier, Amsterdam, 1987) pp. 17–32.

    Google Scholar 

  18. J.M.A. Tanchoco, P.J. Egbelu and F. Taghaboni, Determination of the total number of vehicles in an AGV-based material transportation system, in: Material Flow (Elsevier, Amsterdam, 1987) pp. 33–51.

    Google Scholar 

  19. R.L. Cechner, The application of computer simulation to the design and management of hospital clinical laboratories, CRC Critical Reviews in Bioengineering (December) (1979) 1–43.

  20. W. Godolphin and K. Bodtker, Automation and simulation of central processing in clinical laboratories, Chemometrics and Intelligent Laboratory Systems: Laboratory Information Management 21 (1993) 181–188.

    Article  Google Scholar 

  21. F. McGuire, Using simulation to reduce length of stay in emergency departments, in: Proc. of the 1994 Winter Simulation Conference, 11-14 December 1994, eds. J.D. Tew, S. Manivannan, D.A. Sadowski and A.F. Seila (IEEE, Orlando, FL, 1994) pp. 861–867.

  22. W.C. Johnson, Birth of a new maternity process, in: The Proceedings of the 1998 Winter Simulation Conference, eds. M. Manivannan, D.J. Medeiros, E. Watson and J. Evans (1998) pp. 1429–1432.

  23. J. Lowery, Getting started in simulation in health care, in: The Proceedings of the 1998 Winter Simulation Conference, eds. M. Mani vannan, D.J. Medeiros, E. Watson and J. Evans (1998) pp. 31–35.

  24. B. Niebel, Motion and Time Study, 7th ed. (R.D. Irwin, Homewood, IL, 1982).

    Google Scholar 

  25. D. Pegden, R. Shannon and R. Sadowski, Introduction to Simulation Using SIMAN, 2nd ed. (McGraw-Hill, 1995).

  26. A.M. Law and W.D. Kelton, Simulation Modeling and Analysis, 2nd ed. (McGraw-Hill, New York, 1991).

    Google Scholar 

  27. J. Banks, J.S. Carson, II and B.L. Nelson, Discrete-Event System Simulation, 2nd ed. (Prentice-Hall, USA, 1996).

    Google Scholar 

  28. T.H. Naylor and J.M. Finger, Verification of computer simulation model, Management Science 2 (1967) B92–B101.

    Google Scholar 

  29. H.G. Daellenbach, Systems and Decision Making A Management Science Approach (Wiley, West Sussex, England, 1994).

    Google Scholar 

  30. J. Lowery, B. Hakes, R. Lilegdon, L. Keller, K. Malbrouk and F. McGuire, Barriers to implementing simulation in health care, in: Proc. of the 1994 Winter Simulation Conference, 11-14 December 1994, eds. J.D. Tew, S. Manivannan, D.A. Sadowski and A.F. Seila (IEEE, Orlando, FL, 1994) pp. 868–875

    Google Scholar 

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Rossetti, M.D., Felder, R.A. & Kumar, A. Simulation of robotic courier deliveries in hospital distribution services. Health Care Management Science 3, 201–213 (2000). https://doi.org/10.1023/A:1019049609350

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