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Measuring the logistics performance of internal hospital supply chains – A literature study

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  • Moons, Karen
  • Waeyenbergh, Geert
  • Pintelon, Liliane

Abstract

The patient care processes in hospitals are supported by a range of operational activities including inventory management and distribution of supplies to point-of-care locations. Hospitals carry large amounts and a great variety of items, and the issues of storing and distributing these items throughout the hospital supply chain are of great importance to providing high-quality patient service. Healthcare logistics encompasses the process of handling physical goods (e.g. pharmaceuticals, surgical medical products, medical equipment, sterile items, linen, food, etc.) and the associated information flows, from the reception of the goods within a hospital to their delivery at patient care locations. The medical supply costs constitute the second largest expenditure in hospitals, after personnel costs. A high-performing supply chain may realize improved outcomes (e.g. safe and quality patient service) and greater efficiency. Logistics managers need to identify opportunities to improve the logistics processes in order to lower costs and to improve patient care quality. However, in order to improve the logistics processes, you must understand how the healthcare supply chain is currently performing. Measuring the performance of the supply chain is fundamental to identify and address deficiencies in the logistics activities, and it serves as a good input for managerial decision-making. The purpose of this article is to present existing research on performance measurement at the internal hospital supply chain (e.g. inventory management, distribution activities), and more specifically in the operating theatre since it is among the most critical resources for a hospital. At the operating theatre, the requested items should be available at the right time at the right place, in the right condition, at the lowest cost possible. Furthermore, we will also discuss literature on multi-criteria decision-making techniques. It enables researchers to build a performance measurement framework and to prioritize between multiple performance indicators since a diverse group of stakeholders with conflicting interests is involved in the internal operating room supply chain.

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  • Moons, Karen & Waeyenbergh, Geert & Pintelon, Liliane, 2019. "Measuring the logistics performance of internal hospital supply chains – A literature study," Omega, Elsevier, vol. 82(C), pages 205-217.
  • Handle: RePEc:eee:jomega:v:82:y:2019:i:c:p:205-217
    DOI: 10.1016/j.omega.2018.01.007
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    6. Marwa F. Mohamed & Mohamed Meselhy Eltoukhy & Khalil Al Ruqeishi & Ahmad Salah, 2023. "An Adapted Multi-Objective Genetic Algorithm for Healthcare Supplier Selection Decision," Mathematics, MDPI, vol. 11(6), pages 1-14, March.
    7. Imran Ali & Devika Kannan, 2022. "Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review," Annals of Operations Research, Springer, vol. 315(1), pages 29-55, August.
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    9. Javad Gerami & Reza Kiani Mavi & Reza Farzipoor Saen & Neda Kiani Mavi, 2023. "A novel network DEA-R model for evaluating hospital services supply chain performance," Annals of Operations Research, Springer, vol. 324(1), pages 1041-1066, May.
    10. Carlos Ferreira, 2023. "Foreign participation in federal biddings: A quantitative approach using the procurement panel," Papers 2303.14447, arXiv.org.
    11. Castro, Catarina & Pereira, Teresa & Sá, J.C. & Santos, Gilberto, 2020. "Logistics reorganization and management of the ambulatory pharmacy of a local health unit in Portugal," Evaluation and Program Planning, Elsevier, vol. 80(C).
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    14. Kumar, Anil & Naz, Farheen & Luthra, Sunil & Vashistha, Rajat & Kumar, Vikas & Garza-Reyes, Jose Arturo & Chhabra, Deepak, 2023. "Digging DEEP: Futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach," Journal of Business Research, Elsevier, vol. 162(C).
    15. Sebastjan Lazar & Vojko Potočan & Dorota Klimecka-Tatar & Matevz Obrecht, 2022. "Boosting Sustainable Operations with Sustainable Supply Chain Modeling: A Case of Organizational Culture and Normative Commitment," IJERPH, MDPI, vol. 19(17), pages 1-23, September.
    16. Fernando Rojas & Peter Wanke & Víctor Leiva & Mauricio Huerta & Carlos Martin-Barreiro, 2022. "Modeling Inventory Cost Savings and Supply Chain Success Factors: A Hybrid Robust Compromise Multi-Criteria Approach," Mathematics, MDPI, vol. 10(16), pages 1-18, August.
    17. Abdulaziz M. Almutairi & Mohammed Almanei & Ahmed Al-Ashaab & Konstantinos Salonitis, 2021. "Prioritized Solutions for Overcoming Barriers When Implementing Lean in the Healthcare Supply Chain: A Saudi Perspective," Logistics, MDPI, vol. 5(1), pages 1-16, February.
    18. Shaker Ardakani, Elham & Gilani Larimi, Niloofar & Oveysi Nejad, Maryam & Madani Hosseini, Mahsa & Zargoush, Manaf, 2023. "A resilient, robust transformation of healthcare systems to cope with COVID-19 through alternative resources," Omega, Elsevier, vol. 114(C).
    19. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    20. Martin Beaulieu & Omar Bentahar, 2021. "Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery," Post-Print hal-03208957, HAL.
    21. Zhipeng Zhou & Chaozhi Li & Chuanmin Mi & Lingfei Qian, 2019. "Exploring the Potential Use of Near-Miss Information to Improve Construction Safety Performance," Sustainability, MDPI, vol. 11(5), pages 1-21, February.

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