This research aims to design an efficient inventory control system for tempe raw materials at CV.XYZ by applying the Periodic Review method. The problem faced by the company is the occurrence of excesses and shortages of raw materials due to the absence of an accurate control system. Demand forecasting is carried out using the time series method (Exponential Smoothing, Linear Regression, and Moving Average) to obtain optimal estimates of raw material requirements. Forecasting results are used as a basis for implementing Periodic Review to determine order intervals, maximum inventory and order quantity. The analysis results show that this method can minimize inventory costs and reduce the risk of shortages and excesses of raw materials, thereby increasing production efficiency
Fatwa et al. (Wed,) studied this question.