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In the manufacture of granulated sugar, the main raw material used is sugar cane. Additional raw materials are also needed in the manufacturing process, while additional raw materials are thohor, sulfur, phosphoric acid, and flocculants. In the production carried out, several obstacles are experienced, especially in providing raw materials, namely raw sugar cane, every month. This research aims to determine the best raw material supply method and a probabilistic additional raw material inventory model to determine the minimum total inventory cost. In this study, the Economic Production Quantity (EPQ) method was used for the supply of raw materials for sugar cane and the Continuous Review System (CRS) and Periodic Review System (PRS) models for the supply of additional raw materials for sugar production. The EPQ method is used for mass-produced types of raw materials and used alone for product sub-components. The CSR model is used to complete inventory control with a fixed number of orders but different order periods. While the PRS model is used for inventory control with the number of orders whose value varies, the interval of the ordering period is fixed. Results Based on the research obtained for The EPQ method, the total inventory cost is Rp. 124,729,898,959/month for sugarcane raw materials. The CSR Model obtained a total inventory cost of Rp. 101,328,065/year for additional raw materials. [ABSTRACT FROM AUTHOR]

PT Trakindo Utama is Indonesia's official dealer for heavy equipment, machinery, generators, forklifts and Cat parts from Caterpillar. The current problem is the company has used the min-max method in spare part inventory control but stock out often occurs in spare part inventory. Therefore, this research aimed to analyze the spare parts inventory to find out materials that need more supervision in order to minimize the possibility that can harm the company, along with inventory planning to obtain the optimal order quantity to minimize the total inventory cost. This research used ABC-FSN analysis of 167 types of 320D Excavator spare parts. ABC analysis is the classification of inventories based on the money value of the goods to the total annual investment of the stored goods, consisting of class A which is goods that give a high value, class B which is goods that give a medium value and class C which is goods that give a low value. FSN analysis is an inventory classification that groups materials into three categories, namely Fast-moving (F), Slow-moving (S) and Non-Moving (N) (deadstock). Then do the inventory planning for materials that are in the AF category. In inventory planning, demand forecasting and determination of optimal order quantities are made using two lot sizing methods, namely Part Period Balancing (PPB) and Wagner Within Algorithm (AWW).Results from ABC-FSN showed that there are 8 types of spare parts categorized as AF which are materials with high investment levels and fast movements. The lot sizing method gives the result that the PPB method produces a minimum total inventory cost compared to the AWW method. [ABSTRACT FROM AUTHOR]