Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal JKIE (Journal Knowledge Industrial Engineering)
Muhyidin Agus Wibowo, Moh
Unknown Affiliation
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Determination of Maintenance Time Interval Scheduling on Jaw Crusher Machine with Reliability Centered Maintenance Method At PT. X In Rembang Muhyidin Agus Wibowo, Moh; Kalista, Anggia; Suwardana, Hendra; Parayuda, Muhammad Hendriyanto
Journal Knowledge Industrial Engineering (JKIE) Vol 13 No 1 (2026)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v13i1.3228

Abstract

The manufacturing industry in the construction-support mining sector faces significant challenges in maintaining the reliability of production equipment, particularly in jaw crusher machines used for andesite stone processing. Frequent machine breakdowns during production activities can reduce productivity, increase downtime, and cause financial losses. This study aims to identify critical components and determine optimal maintenance intervals using the Reliability Centered Maintenance (RCM) method. The analysis results indicate that the critical components of the jaw crusher machine are the Bearing, Toggle, Electric Motor, and Spring. The Bearing and Toggle components require corrective maintenance strategies with maintenance intervals of 111 days, while the Electric Motor and Spring components require preventive maintenance strategies with intervals of 119 days and 109 days, respectively. The proposed maintenance scheduling can be used as a basis for improving machine reliability, minimizing downtime, and enhancing maintenance effectiveness in the production process.
Co-Authors Hendra Suwardana, Hendra Kalista, Anggia Parayuda, Muhammad Hendriyanto