Evaluating Vaccine Temperature Monitoring Systems via Fuzzy Analytic Hierarchy Process

Cold chain management is a specific part of supply chain management. Cold chain management deal with products that should be transported and stored in certain conditions. Monitoring thetemperature in cold chain is one of the most critical and important factors. Effective temperaturemonitoring systems are a must have for a successful cold chain management in companies, sodeciding on the best temperature monitoring system is a strategic decision. The aim of this study isto determine the best temperature monitoring system for vaccine storage in a warehouse. Whilethere are many different criteria for selecting among different temperature monitoring systems, amulti criteria decision making methodology is used and we evaluated four different temperaturemonitoring systems by using fuzzy analytic hierarchy process (FAHP). Fuzzy numbers are used forthe application of analytic hierarchy process (AHP), because fuzzy numbers enable the decisionmakers to deal better with the uncertain and vogue circumstances while selecting the besttemperature monitoring systems. Electronic thermometer data logger system, wired data loggertemperature monitoring system, wireless data logger temperature monitoring system and cloudbased data logger temperature monitoring system are chosen as alternatives. First, we determined 4 main and 14 sub-criteria that affect the selection process and then we applied fuzzy analytic hierarchy process for selecting the best temperature monitoring system. Cloud-based data logger temperature monitoring system is determined as the best alternative.