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    Fuzzy Transportation Model for Resource Allocation in a Dental Hospital
    (Springer Science and Business Media Deutschland GmbH, 2024) Gul, A.Y.; Karadayi-Usta, S.
    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. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.