Risk Prioritization and Case Study in the Pharmaceutical Sector with Fine-Kinney, Fuzzy Fine Kinney and Fuzzy Cognitive Mapping Approach

Abstract

Abstract The globalizing and shrinking world, technology, and mechanization rates have caused a rapid increase. With increasing mechanization, studies on occupational health and safety and risk analysis are increasing day by day. This process is being closely followed by companies in the pharmaceutical industry, and studies on the subject are increasing. Risk analysis and prevention studies make a significant contribution to reducing occupational accidents and errors. In the studies carried out, it is necessary to know and correctly analyze the sector, the company, the culture, and the employees. After the correct analysis, it is extremely important to determine the most appropriate method for the sector and the company. In this study, the risk situation was analyzed for a pharmaceutical company in the pharmaceutical industry. After Fine-Kinney analysis, a transition to fuzzy Fine-Kinney analysis was made in order to avoid the uncertainty in the method. The analysis performed was to determine the risk, the current situation, and the risk score. After the analysis, the risks identified by the Fuzzy Fine-Kinney method were prioritized using the Fuzzy Cognitive Mapping method. The aim was to show the difference between the two methods by blurring the values obtained in the Fine Kinney analysis and switching to the Fuzzy Fine Kinney method. A recommendation is given for the risks that may occur during the risk prioritization of an application. The aim of the study is to reveal hidden risks in the pharmaceutical industry and to guide future studies.