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Implementing a material planning and control method for special nutrition in a Brazilian public hospital

Author

Listed:
  • Najla Alemsan
  • Guilherme Luz Tortorella
  • Alejandro Francisco Mac Cawley Vergara
  • Carlos Manuel Taboada Rodriguez
  • Alberto Portioli Staudacher

Abstract

This study aims to (i) propose a demand forecast model for special nutrition materials in the context of health services, and (ii) comparatively evaluate three inventory management and control systems (periodic review, continuous review and mixed) for special nutrition materials. For that, we carried out a case study in a Brazilian public teaching hospital where data and information collection were conducted over a span of 22 months (from January 2018 and were consolidated until October 2019). A six‐step approach was followed to propose the demand forecasting models and, later, evaluate the inventory control systems for special nutrition materials. Results indicate that if the organization implements the proposed inventory management method, there could be savings of up to 33% in the stock values managed by the healthcare organization. This research shows the planning and control of special nutrition materials in an integrated manner. Demand forecasting methods have been combined with inventory management to promote systemic improvements to healthcare organization.

Suggested Citation

  • Najla Alemsan & Guilherme Luz Tortorella & Alejandro Francisco Mac Cawley Vergara & Carlos Manuel Taboada Rodriguez & Alberto Portioli Staudacher, 2022. "Implementing a material planning and control method for special nutrition in a Brazilian public hospital," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(1), pages 202-213, January.
    • Handle: RePEc:bla:ijhplm:v:37:y:2022:i:1:p:202-213
    DOI: 10.1002/hpm.3329
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    References listed on IDEAS

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    1. Muhammed Ordu & Eren Demir & Chris Tofallis, 2019. "A comprehensive modelling framework to forecast the demand for all hospital services," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(2), pages 1257-1271, April.
    2. Barry R. Cobb, 2017. "Optimization Models for the Continuous Review Inventory System," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 8(1), pages 1-21, January.
    3. Kim, Sungil & Kim, Heeyoung, 2016. "A new metric of absolute percentage error for intermittent demand forecasts," International Journal of Forecasting, Elsevier, vol. 32(3), pages 669-679.
    4. Volland, Jonas & Fügener, Andreas & Schoenfelder, Jan & Brunner, Jens O., 2017. "Material logistics in hospitals: A literature review," Omega, Elsevier, vol. 69(C), pages 82-101.
    5. Luana Bonome Message Costa & Moacir Godinho Filho & Antonio Freitas Rentes & Thiago Moreno Bertani & Ronaldo Mardegan, 2017. "Lean healthcare in developing countries: evidence from Brazilian hospitals," International Journal of Health Planning and Management, Wiley Blackwell, vol. 32(1), pages 99-120, January.
    6. Kanokwan Singha & Jirachai Buddhakulsomsiri & Parthana Parthanadee, 2017. "Mathematical Model of Inventory Policy under Limited Storage Space for Continuous and Periodic Review Policies with Backlog and Lost Sales," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-9, December.
    7. Opher Baron & Oded Berman & David Perry, 2010. "Continuous review inventory models for perishable items ordered in batches," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 72(2), pages 217-247, October.
    8. Yang, Liu & Li, Haitao & Campbell, James F. & Sweeney, Donald C., 2017. "Integrated multi-period dynamic inventory classification and control," International Journal of Production Economics, Elsevier, vol. 189(C), pages 86-96.
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