Method for Determining the Number of Maintenance Personnel

Reducing the number of workers (downsizing) is a strategic step for companies to increase their competitiveness. With downsizing, worker productivity is expected to increase; therefore, the company's financial performance can improve. For the quantitative accuracy of downsizing to be achieved, it is necessary to measure the workload of the related work. Measuring the workload on maintenance work is difficult because of the varying nature of the work activities (e.g., frequency, duration, complexity). This study aims to develop a method for calculating the number of workers working in maintenance. The developed method is based on a combination of time study and RAM (Reliability, Availability, Maintainability) methods. The number of maintenance workers is determined by calculating the Full-time equivalent value (the ratio between the actual total working hours and the maximum scheduled working hours). A full-time equivalent value greater than one indicates a workload that is too large (over-utilized), and a full-time equivalent value of less than one indicates a workload that is too small (underutilized). The method developed was then tested in a case study on maintenance work at a mining company. The results show that the proposed method can be used as input for decision-makers in determining the number of workers on maintenance work.

Authors

Institutions

Publication Details

Journal
Buletin Poltanesa
Published
2024-12-06
DOI
https://doi.org/10.51967/tanesa.v25i2.3181
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Method for Determining the Number of Maintenance Personnel

Andi Rahadiyan Wijaya
Buletin Poltanesa
Engineering Diagnostics and Reliability
article

Method for Determining the Number of Maintenance Personnel

Andi Rahadiyan Wijaya
article en

Abstract

Reducing the number of workers (downsizing) is a strategic step for companies to increase their competitiveness. With downsizing, worker productivity is expected to increase; therefore, the company's financial performance can improve. For the quantitative accuracy of downsizing to be achieved, it is necessary to measure the workload of the related work. Measuring the workload on maintenance work is difficult because of the varying nature of the work activities (e.g., frequency, duration, complexity). This study aims to develop a method for calculating the number of workers working in maintenance. The developed method is based on a combination of time study and RAM (Reliability, Availability, Maintainability) methods. The number of maintenance workers is determined by calculating the Full-time equivalent value (the ratio between the actual total working hours and the maximum scheduled working hours). A full-time equivalent value greater than one indicates a workload that is too large (over-utilized), and a full-time equivalent value of less than one indicates a workload that is too small (underutilized). The method developed was then tested in a case study on maintenance work at a mining company. The results show that the proposed method can be used as input for decision-makers in determining the number of workers on maintenance work.

Buletin PoltanesaVol. 25(2)
Universitas Gadjah Mada (ID)
Decent work and economic growth
Openalex Percentile: Top 75%
Engineering Diagnostics and Reliability
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.

Method for Determining the Number of Maintenance Personnel — Andi Rahadiyan Wijaya · Buletin Poltanesa (2024) | TGRS Research Map | TGRS