Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-T3 2023)

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Implementation of The Economic Order Quantity (EOQ) Method in The Web Based Monitoring and Management Application of Heavy Equipment Spare Part Units

Authors
M. Arief Rahman1, *, Yunita Fauzia Achmad2, Laurensia Ayu Paramitha
1Informatics Management, State Polytechnic of Sriwijaya, Palembang, Indonesia
2Computer Engineering, State Polytechnic of Sriwijaya, Palembang, Indonesia
*Corresponding author. Email: m.arief.rahman@polsri.ac.id
Corresponding Author
M. Arief Rahman
Available Online 29 February 2024.
DOI
10.2991/978-2-38476-220-0_17How to use a DOI?
Keywords
The Economic Order Quality Method; Heavy Equipment; Application
Abstract

The Economic Order Quantity (EOQ) method is known as an efficient approach to optimizing inventory by minimizing total inventory costs, including holding costs and ordering costs. In this research, we focus on implementing EOQ in system related to heavy equipment spare parts units, with a web-based approach to facilitate information access and management. This application is designed to monitor and manage spare part inventory effectively, increase management efficiency and reduce the risk of stock shortages. We investigate how implementing EOQ can improve inventory control and optimize order cycles, so organizations can avoid high costs associated with excess or shortage inventory. In addition, this research includes a performance evaluation of web-based application that utilize the EOQ method in the context of heavy equipment units. The results of this research can make a positive contribution to the development of inventory management system, especially for heavy equipment unit, by integrating EOQ principles in a web-based environment. The implementation of this method is expected to bring significant benefits in improving operational efficiency and inventory management in various industries that use heavy equipment units as critical assets in their business processes.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-T3 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 February 2024
ISBN
978-2-38476-220-0
ISSN
2352-5398
DOI
10.2991/978-2-38476-220-0_17How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - M. Arief Rahman
AU  - Yunita Fauzia Achmad
AU  - Laurensia Ayu Paramitha
PY  - 2024
DA  - 2024/02/29
TI  - Implementation of The Economic Order Quantity (EOQ) Method in The Web Based Monitoring and Management Application of Heavy Equipment Spare Part Units
BT  - Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-T3 2023)
PB  - Atlantis Press
SP  - 140
EP  - 148
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-220-0_17
DO  - 10.2991/978-2-38476-220-0_17
ID  - Rahman2024
ER  -