Indonesian Journal of Industrial Engineering & Management
Vol 5, No 2: June 2024

Analysis of Raw Material Inventory Control Using the Min-Max Stock Method to Control Inventory Costs at PT. Artha King Indonesia

Ramadhan, Ardana (Unknown)
Saifuddin, Joumil Aidil (Unknown)



Article Info

Publish Date
20 Nov 2024

Abstract

In the current era of globalization, a company must always try to have the ability to compete with other companies. The issue of inventory planning and control is one of the most important things every business has to face. This study aims to determine the picture of inventory management using Min-Max Stock at PT Artha King Indonesia and find out the amount of inventory costs incurred using the Min Max Stock method. The type of research used is quantitative descriptive research conducted at PT Artha King Indonesia. We recommend that data collection uses primary data from interviews and company observations. While secondary data is obtained from historical company data. The results of this study show that theoretically the minimum and maximum limit values of stock, safety stock, and reorder level (Q) are different for each raw material. Furthermore, by using a policy proposal with the minimum inventory method, the cost calculation results show that the annual costs incurred by the company are lower because there is no excess or out-of-stock material during the warehouse period. Knowing the results of theoretical calculations of the above values, it is possible to evaluate the policies used today so that in the future the company can minimize the costs incurred and maximize profits.

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Journal Info

Abbrev

ijiem

Publisher

Subject

Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

Description

The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on industrial engineering and management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise ...