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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.
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    Resiliency in Green Supply Chains of Pharmaceuticals
    (Springer Science and Business Media Deutschland GmbH, 2024) Karadayi-Usta, S.
    The pharmaceutical industry, a vital stakeholder in the global market, places a high priority on research and development, and the COVID-19 pandemic led to concerns in April 2020 about possible disruptions in the supply chain of medicines. The pharmaceutical industry must prioritize resilient green supply chain operations in order to mitigate potential disruptions, as indicated in industrial reports. As per the literature, green supply chain management involves the incorporation of the reduce, reuse, recycle, reclaim, and degradable principle into green supply chains, beginning from manufacturing to operations and culminating with end-of-life management. Thus, the purpose of this study is to extract the concepts to achieve the green supply chain for pharmaceutical industry, and to obtain a conceptual framework via cognitive mapping process. The findings of the analysis reveal that biodiversity and corporate social responsibility together provide a basis for the green chemistry and green pharmaceutical production. In case the medical institutions adopt recycling, reverse logistics and waste management operations, a green supply chain can be achieved. Moreover, by adding the digitalization and risk management practices, finally the resiliency in green supply chain of medicine can be attained. As a result, this paper contributes to the literature by extracting the concepts to be green in pharmaceutical supply chain and by analyzing these cognitive maps for these defined concepts. As of the knowledge of the author, this is the first paper conducting a cognitive map for green pharmaceutical supply chains. In addition, practitioner can benefit from this research findings to determine the tactical and strategical plans for their institutions. Accordingly, risk management and digitalization applications plus the green pharmaceutical supply chain brings resiliency. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.