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Optimization of Raw Material Inventory using Always Better Control (ABC) Analysis and Economic Order Quantity (EOQ) Method Approach in the Warehouse of a Bolt Manufacturing Factory in Indonesia

📅 Published: July 22, 2024 👤 Amalia Khusnul Irfani, Supriyanto Supriyanto, Gigih Hapsak Pradipto 📖 International Journal of Innovative Science and Research Technology (IJISRT) 📊 960 citations
AI-Generated Summary

There is a problem in the raw material procurement process at the Contractor Company, such as running out and excess stock of raw materials, as well as difficulties in determining how many raw materials to order that meet the company's economic value. There are 4 items out of 10 raw material items that are included in Category A or the most prioritized category.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Running out of raw material stock results in delays in production activities, while excess raw material stock can fill warehouse capacity, thereby increasing storage costs.
  • 2 To overcome this problem, research was carried out using a quantitative descriptive method to determine the level of production cost efficiency and production effectiveness level in order to achieve optimization of raw material supplies using Always Better Control (ABC) Analysis and the Economic Order Quantity (EOQ) Method at Bolt Companies.
  • 3 ABC analysis plays a role in determining which raw materials have the highest level of demand and the EOQ method plays a role in determining the amount of raw materials to be ordered in order to meet the company's economic value.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jul 22, 2024
Journal International Journal of Innovative Science and Research Technology (IJISRT)
DOI 10.38124/ijisrt/ijisrt24jul654
Citations 960
Authors Amalia Khusnul Irfani, Supriyanto Supriyanto, Gigih Hapsak Pradipto