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Inventory management of reusable surgical supplies

Author

Listed:
  • Adam Diamant

    (York University)

  • Joseph Milner

    (University of Toronto)

  • Fayez Quereshy

    (Toronto Western Hospital - University Health Network)

  • Bo Xu

    (Oil Sands Suncor Business Centre, Suncor Energy)

Abstract

We investigate the inventory management practices for reusable surgical instruments that must be sterilized between uses. We study a hospital that outsources their sterilization services and model the inventory process as a discrete-time Markov chain. We present two base-stock inventory models, one that considers stockout-based substitution and one that does not. We derive the optimal base-stock level for the number of reusable instruments to hold in inventory, the expected service level, and investigate the implied cost of a stockout. We apply our theoretical results to a dataset collected from a surgical unit at a large tertiary care hospital specializing in colorectal operations. We demonstrate how to implement our model when determining base-stock levels for future capacity expansion and when considering alternative stockout protocols. Our analysis suggests that the hospital can reduce the number of reusable instrument sets held in inventory if on-site sterilization techniques (e.g., flash sterilization) are employed. Our results will guide future procurement decisions for surgical units based on costs and desired service levels.

Suggested Citation

  • Adam Diamant & Joseph Milner & Fayez Quereshy & Bo Xu, 2018. "Inventory management of reusable surgical supplies," Health Care Management Science, Springer, vol. 21(3), pages 439-459, September.
  • Handle: RePEc:kap:hcarem:v:21:y:2018:i:3:d:10.1007_s10729-017-9397-3
    DOI: 10.1007/s10729-017-9397-3
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    References listed on IDEAS

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    1. Reymondon, Francis & Pellet, Bertrand & Marcon, Eric, 2008. "Optimization of hospital sterilization costs proposing new grouping choices of medical devices into packages," International Journal of Production Economics, Elsevier, vol. 112(1), pages 326-335, March.
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    3. Tan, Baris & Karabati, Selcuk, 2013. "Retail inventory management with stock-out based dynamic demand substitution," International Journal of Production Economics, Elsevier, vol. 145(1), pages 78-87.
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    5. Shin, Hojung & Park, Soohoon & Lee, Euncheol & Benton, W.C., 2015. "A classification of the literature on the planning of substitutable products," European Journal of Operational Research, Elsevier, vol. 246(3), pages 686-699.
    6. Nicholson, Lawrence & Vakharia, Asoo J. & Selcuk Erenguc, S., 2004. "Outsourcing inventory management decisions in healthcare: Models and application," European Journal of Operational Research, Elsevier, vol. 154(1), pages 271-290, April.
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    8. Houda Tlahig & Aida Jebali & Hanen Bouchriha, 2009. "A two-phased approach for the centralisation versus decentralisation of the hospital sterilisation service department," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 3(2), pages 227-246.
    9. Maria Di Mascolo & Alexia Gouin, 2013. "A generic simulation model to assess the performance of sterilization services in health establishments," Health Care Management Science, Springer, vol. 16(1), pages 45-61, March.
    10. Ozturk, Onur & Begen, Mehmet A. & Zaric, Gregory S., 2014. "A branch and bound based heuristic for makespan minimization of washing operations in hospital sterilization services," European Journal of Operational Research, Elsevier, vol. 239(1), pages 214-226.
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    Cited by:

    1. Gerald Oeser & Pietro Romano, 2021. "Exploring risk pooling in hospitals to reduce demand and lead time uncertainty," Operations Management Research, Springer, vol. 14(1), pages 78-94, June.

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