Inventory Lot Sizing Decisions for Material Requirements Planning to Minimize Inventory Costs

Filscha Nurprihatin (Department of Industrial Engineering, Sampoerna University)
Rafie Djajasoepena (Department of Information Systems, Sampoerna University)
Vanessa Bertholdo Vargas (Instituto Tecnológico de Aeronautica, São José dos Campos)
Moacyr Machado Cardoso Junior (Instituto Tecnológico de Aeronautica, São José dos Campos)
Ali Vaezi (Goodman School of Business, Brock University)

JIEMS (Journal of Industrial Engineering and Management Systems)
Vol 16, No 2 (2023): Journal of Industrial Engineering and Management Systems

Inventory control is one of the most important factors in achieving optimal organizational performance. Material Requirement Planning (MRP) is a common method used by businesses to manage inventories. This study focuses on a hydraulic firm that has been in operation since 2016. This research examines the planning of eleven components to get the best planning for the company. This study contributes to the integration of Moving Average (MA) and Exponential Smoothing (ES) forecasting techniques alongside the MRP and three lot sizing techniques, such as LFL, EOQ, and LUC. The minimum error values between MA and ES are evaluated and followed by the comparison between three lot sizing techniques. The result shows that ES (α=0.1) is selected as the best forecasting technique, and LUC presents the lowest total inventory cost. However, LUC is only 0.05 percent lower than what LFL presents. A larger difference is shown by EOQ with 14.57 percent higher than LUC which makes EOQ unlikely to be selected.