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This model deals with an undifferentiated fuzzy stock followed by deficiencies and deficiencies followed by fuzzy stock with quadratic demand rate. The degradation rate is represented by Weibull distribution involving two parameters. Both models made use of a fixed exchange of the retailer's credit period from the provider. The model is used to find an ultimate solution in fuzzy environment such that the entire expenditure cost is reduced. The signed distance approach is being used for fuzzification of the proposed model using triangular fuzzy integers. The validation of the proposed model is demonstrated numerically. [ABSTRACT FROM AUTHOR]

We live in a world where breakthroughs occur exponentially, and the health sector is no exception. The IoT plays a significant role in this phenomenal development, and IoT can perform wonders with the proper applications, including the ESP8266 NodeMCU. This IoT-based board is commendably potent and configurable, capable of making several observations simultaneously. This paper proposed to develop a cost-effective system that monitors IV fluid levels, Tonic-Clonic epilepsy seizure monitoring, pulse, and body temperature irregularities simultaneously by interfacing an ESP8266 NodeMCU with a load cell, a temperature sensor integrated 3D accelerometer, and a pulse sensor. The ESP8266 NodeMCU can send sensor data to the cloud data logger and make VoIP calls to alert the caretaker using the internet. The proposed saline bottle monitoring system, pulse rate monitoring system, body temperature monitoring system, and epilepsy detection system had 99.984%,99.735%,99.825%, and 99.3% respective accuracies during testing. [ABSTRACT FROM AUTHOR]