Spare Part Inventory Policy Planning based on FRMIC (Fuzzy-Rule-based approach for Multi-Criteria Inventory Classification) using Base-Stock Policy Method (S-1, S) Anjani Maulaya (a*), Ari Yanuar Ridwan (b), Budi Santosa (c)
a), b), c) Industrial Engineering, School of Industrial and System Engineering, Telkom University, Bandung 40257, Indonesia
*anjanimaulaya.student.telkomuniversity.ac.id
Abstract
Policy in managing inventory becomes an important part of a company, including in Food Factory that involve several production activities. To support production activities, company needs machines to carry out production activities. In order to keep production activities running well, the company always strives to maintain the reliability of these machines. Spare parts are an important component to support these activities. The type and number of spare parts is not only one, but can reach thousands. Therefore, it is necessary to manage a good spare part inventory by the company to ensure the availability of spare parts in warehouse and of course avoid the accumulation of spare parts stock in warehouses that make inventory costs high. This study uses the base-stock policy (S-1, S) method, which is applied to high priority spare parts. Determination of high inventory (HI) category spare parts is obtained based on FRMIC classification (Fuzzy-Rule-based approach Multi -criteria Inventory Classification) which considers several criteria, including: unit price, consumption value, replenishment lead-time, critically and commonality. The use of the base-stock policy method is proven to be able to reduce total inventory cost.
Keywords: Spare part; FRMIC; high inventory; base-stock policy; total inventory cost
Topic: Innovation, IT, Operations and Supply Chain Management
