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All Journal OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Indonesian Journal of Industrial Engineering & Management
Hia, Selamat W.
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Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Reduce mean time to repair of mining equipment with lean six sigma Hia, Selamat W.; Pramudjito, Prasetyo Adji Dian
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.125

Abstract

As the size and complexity of mining equipment grow, the impact of equipment failure becomes increasingly critical, often leading to costly downtime and production delays. Mining equipment performance depends on several factors, including equipment reliability, the operating environment, maintenance efficiency, operating processes, and the technical expertise of the personnel. Improving equipment reliability is essential to address these challenges, and one effective approach is to reduce the mean time to repair (MTTR), which significantly affects equipment availability.  This study presents a case study on reducing the MTTR of the starter motor for coal mining equipment using the Lean Six Sigma method. Lean Six Sigma combines the principles of lean manufacturing and Six Sigma to identify inefficiencies and reduce variability. The findings reveal a substantial reduction in MTTR from 110 minutes to 10 minutes. Statistical analysis using a two-sample t-test confirms the significance of the improvement, with the process capability index (cpk) increasing from -2.94 to 6.96. This case study demonstrates the potential of Lean Six Sigma to address critical maintenance challenges, improve operational efficiency, and enhance equipment reliability in the mining sector.
Application of Measurement System Analysis (MSA) for Assesment of Tire Pressure Monitoring in Coal Mining Trucks Hia, Selamat W.
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i3.26255

Abstract

Tire pressure plays an important role in ensuring safe operation and performance of truck vehicles. Improper tire pressure always leads to tire life, vehicle safety, and performance. This paper discusses the application of measurement system analysis on truck tire pressure in a coal mining company. The study evaluates the measurement system of truck tire pressure. The company aims to extend the life span of its tire by maintaining and monitoring the tire pressure regularly. The tire pressure is measure by a pressure gauge. This study used measurement system analysis (MSA) to analyze the Gage R&R, with 2 tire men and 10 parts measured with 3 repetitions. The MSA results in a Total Gage R&R of 18.16% with a repeatability value of 12.34% and a reproducibility value of 13.32%. The result indicated that the measurement system showed good results for tire measurement applications because the Gage R&R was between 10% to 30%.
Co-Authors Pramudjito, Prasetyo Adji Dian