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A hierarchical facility layout planning approach for large and complex hospitals

Author

Listed:
  • Stefan Helber

    (Leibniz University Hannover)

  • Daniel Böhme

    (Leibniz University Hannover)

  • Farid Oucherif

    (Leibniz University Hannover)

  • Svenja Lagershausen

    (Leibniz University Hannover)

  • Steffen Kasper

    (Leibniz University Hannover)

Abstract

The transportation processes for patients, personnel, and material in large and complex maximum-care hospitals with many departments can consume significant resources and thus induce substantial logistics costs. These costs are largely determined by the allocation of the different departments and wards in possibly multiple connected hospital buildings. We develop a hierarchical layout planning approach based on an analysis of organizational and operational data from the Hannover Medical School, a large and complex university hospital in Hannover, Germany. The purpose of this approach is to propose locations for departments and wards for a given system of buildings such that the consumption of resources due to those transportation processes is minimized. We apply the approach to this real-world organizational and operational dataset as well as to a fictitious hospital building and analyze the algorithmic behavior and resulting layout.

Suggested Citation

  • Stefan Helber & Daniel Böhme & Farid Oucherif & Svenja Lagershausen & Steffen Kasper, 2016. "A hierarchical facility layout planning approach for large and complex hospitals," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 5-29, June.
    • Handle: RePEc:spr:flsman:v:28:y:2016:i:1:d:10.1007_s10696-015-9214-6
    DOI: 10.1007/s10696-015-9214-6
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    Cited by:

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    2. I. Jerin Leno & S. Saravana Sankar & S. G. Ponnambalam, 2018. "MIP model and elitist strategy hybrid GA–SA algorithm for layout design," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 369-387, February.
    3. Farouq Halawa & Sreenath Chalil Madathil & Alice Gittler & Mohammad T. Khasawneh, 2020. "Advancing evidence-based healthcare facility design: a systematic literature review," Health Care Management Science, Springer, vol. 23(3), pages 453-480, September.
    4. Feng, Yanling & Li, Guo & Sethi, Suresh P., 2018. "A three-layer chromosome genetic algorithm for multi-cell scheduling with flexible routes and machine sharing," International Journal of Production Economics, Elsevier, vol. 196(C), pages 269-283.
    5. T. G. Pradeepmon & Vinay V. Panicker & R. Sridharan, 2021. "A variable neighbourhood search enhanced estimation of distribution algorithm for quadratic assignment problems," OPSEARCH, Springer;Operational Research Society of India, vol. 58(1), pages 203-233, March.
    6. Alexander Hübner & Heinrich Kuhn & Manuel Walther, 2018. "Combining clinical departments and wards in maximum-care hospitals," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(3), pages 679-709, July.

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