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Fuzzy Transportation Model for Resource Allocation in a Dental Hospital

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Decision Making in Healthcare Systems

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 513))

Abstract

The transportation models are of paramount importance as a powerful tool for health institutions with resource allocation abilities. Movement of patients, medical supplies, employees, and other individuals across various locations are all covered in this field of study to enhance efficiency and reduce costs. However, there are limited number of papers discussing nursing staff and bed capacity as a resource allocation problem within the scope of transportation models. Hence, the purpose of the study is to examine the transportation model with a fuzzy mixed integer linear programming (FMILP) approach to allocate the nursing staff and bed capacity as resources with a case study of dental hospital. Findings illustrate that the highest patient demand is observed in the last three months of the year, and there is a need to increase the capacity in that time period. Besides, the sensitivity analysis highlights that while volume of domestic patients’ demand is relatively stable, the number of international patients varies greatly throughout the year and causes a change in total patient demand significantly. This chapter contributes to the literature by emphasizing the transportation models’ wide range of utilization ability for the healthcare resource allocation problems. Indeed, the practitioners can benefit from this paper in order to handle its resources to allocate exact dates and operating rooms.

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, Istinye University, Istanbul, Turkey

    Alize Yaprak Gul & Saliha Karadayi-Usta

  2. Industrial Engineering Department, Istanbul Technical University, Istanbul, Turkey

    Alize Yaprak Gul

Authors
  1. Alize Yaprak Gul
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  2. Saliha Karadayi-Usta
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Corresponding author

Correspondence to Saliha Karadayi-Usta .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, TĂĽrkiye

    Tofigh Allahviranloo

  2. Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Farhad Hosseinzadeh Lotfi

  3. School of Information Technology, Deakin University, Waurn Ponds Campus, Geelong, VIC, Australia

    Zohreh Moghaddas

  4. Department of Mathematics, Islamic Azad University, Rasht, Iran

    Mohsen Vaez-Ghasemi

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Gul, A.Y., Karadayi-Usta, S. (2024). Fuzzy Transportation Model for Resource Allocation in a Dental Hospital. In: Allahviranloo, T., Hosseinzadeh Lotfi, F., Moghaddas, Z., Vaez-Ghasemi, M. (eds) Decision Making in Healthcare Systems. Studies in Systems, Decision and Control, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-031-46735-6_7

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