Track: Data Analytics

Abstract

This study explores and proposes optimization solutions for maintenance material requests through historical basket analysis. The study evaluates the existence of relationships between parts requests and uses association rules to detect multiple parts and improve inventory management systems. The analysis is based on historical maintenance material requests and aims to improve delivery and parts stocking. The results of this study can be used to optimize the maintenance process and improve inventory management efficiency. The proposed optimization solutions can help to improve the delivery and stocking of maintenance parts, ultimately enhancing the efficiency of the maintenance process. The results of this study can be utilized by maintenance professionals and inventory managers to optimize the maintenance process and improve inventory management efficiency. Overall, our study highlights the importance of using historical basket analysis and association rules to optimize maintenance material requests and improve inventory management systems.