PENGELOMPOKAN PERSEDIAAN SPARE PARTS DENGAN METODE CLASS BASED STORAGE KLASIFIKASI FSN BERDASARKAN TURNOVER RATIO (TOR)

Effective spare parts management at PT XYZ requires accurate classification based on their turnover rate. This research aims to categorize spare parts into fast-moving, slow-moving, and non-moving categories to improve inventory management efficiency and support the company's operational sustainability. From the analysis of 130 types of spare parts, it was found that 69 (53%) fell into the fast-moving category, 50 (38.5%) were slow-moving, and 11 (8.5%) were non-moving. This classification is critical because it allows the company to determine the optimal order quantity and storage location for each category of spare parts. Thus, the company can prevent stock shortages on frequently used parts, which can disrupt smooth operations. In addition, activities with the grouping of goods can increase the accuracy of the stock-taking process, making it easier to make decisions related to inventory management. The data in this study were collected through various methods, including direct observation, literature study, and analysis of company historical data. The results show that classifying spare parts based on turnover ratios can be a solid basis for more effective inventory management policies. The application of this classification, PT XYZ is expected to improve operational efficiency and optimize the use of existing resources, to contribute to the growth and desire of the company in the future. Keywords: Class-based storage method; FSN Classification; Inventory Control; Spare Parts; Turnover Ratio

Authors

Institutions

Publication Details

Journal
INAQUE Journal of Industrial & Quality Engineering
Published
2025-04-29
DOI
https://doi.org/10.34010/iqe.v13i1.15360
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PENGELOMPOKAN PERSEDIAAN SPARE PARTS DENGAN METODE CLASS BASED STORAGE KLASIFIKASI FSN BERDASARKAN TURNOVER RATIO (TOR)

Dinda Elyana Agustin
INAQUE Journal of Industrial & Quality Engineering
Management and Optimization Techniques
article

PENGELOMPOKAN PERSEDIAAN SPARE PARTS DENGAN METODE CLASS BASED STORAGE KLASIFIKASI FSN BERDASARKAN TURNOVER RATIO (TOR)

Dinda Elyana Agustin
article en

Abstract

Effective spare parts management at PT XYZ requires accurate classification based on their turnover rate. This research aims to categorize spare parts into fast-moving, slow-moving, and non-moving categories to improve inventory management efficiency and support the company's operational sustainability. From the analysis of 130 types of spare parts, it was found that 69 (53%) fell into the fast-moving category, 50 (38.5%) were slow-moving, and 11 (8.5%) were non-moving. This classification is critical because it allows the company to determine the optimal order quantity and storage location for each category of spare parts. Thus, the company can prevent stock shortages on frequently used parts, which can disrupt smooth operations. In addition, activities with the grouping of goods can increase the accuracy of the stock-taking process, making it easier to make decisions related to inventory management. The data in this study were collected through various methods, including direct observation, literature study, and analysis of company historical data. The results show that classifying spare parts based on turnover ratios can be a solid basis for more effective inventory management policies. The application of this classification, PT XYZ is expected to improve operational efficiency and optimize the use of existing resources, to contribute to the growth and desire of the company in the future. Keywords: Class-based storage method; FSN Classification; Inventory Control; Spare Parts; Turnover Ratio

INAQUE Journal of Industrial & Quality EngineeringVol. 13(1)
IPB University (ID)
Openalex Percentile: Top 87%
Management and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

PENGELOMPOKAN PERSEDIAAN SPARE PARTS DENGAN METODE CLASS BASED STORAGE KLASIFIKASI FSN BERDASARKAN TURNOVER RATIO (TOR) — Dinda Elyana Agustin · INAQUE Journal of Industrial & Quality Engineering (2025) | TGRS Research Map | TGRS