Lead Acid Battery Material Inventory Control with Periodic Review Method Approach

Abstract

At lead acid battery companies, the main material from lead has a limited shelf life. This study uses a case in the lead acid battery company in Indonesia, artificial neural networks forecasting is used to accommodate erratic demand for XYZ lead acid battery companies. The continuous review model is used to determine the minimum inventory and time between orders. The continuous review model is expected to have less total inventory costs compared to the company policy model. There is a lot of research on inventory control in the supply chain, but almost all research assumes durable products. This study uses an artificial neural network method to minimize demand forecasting errors and then the continuous review approach is used to minimize the total inventory cost by considering material life due to quality considerations.