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All Journal OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Bakti Masyarakat Indonesia Indonesian Journal of Industrial Engineering & Management Competitive
Fathurohman, Dimas Mukhlis Hidayat
Program Studi Manajemen Rekayasa, Universitas Logistik Dan Bisnis Internasional
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences Transportation Other

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Journal : OPERATION EXCELLENCE: Journal of Applied Industrial Engineering

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Analysis overall equipment effectiveness (OEE) raw mill machine using DMAIC method in cement industry Fathurohman, Dimas Mukhlis
Operations Excellence: Journal of Applied Industrial Engineering Vol. 17 No. 2 July 2025 In Press
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2025.v17.i2.147

Abstract

Equipment failure significantly impacts machine performance, leading to decreased productivity, increased repair costs, and reduced production output. PT XYZ, a company engaged in cement production, has been experiencing frequent downtime on the Raw Mill Plant 10 machine, resulting in abnormal production volumes and reduced efficiency. These issues contribute to the engine efficiency index remaining below the industry standard. To address these challenges, a comprehensive performance evaluation and improvement strategy is necessary. This study implements Total Productive Maintenance (TPM) by integrating the Overall Equipment Effectiveness (OEE) metric and applying the DMAIC (Define, Measure, Analyze, Improve, Control) methodology to identify and reduce inefficiencies. Additionally, a fishbone diagram is utilized to determine the root causes of the problem. The findings reveal that the OEE value for the Raw Mill machine is 80.78%, falling short of the 85% benchmark. Among the six big losses affecting equipment performance, speed losses account for 79.81%, making it the most dominant contributor to inefficiency. These results suggest the need for targeted improvements focused on minimizing speed-related disruptions, optimizing machine availability, and enhancing overall equipment performance to meet production targets and cost efficiency goals.
Co-Authors Adang Haryaman Agung Prayoga, Rizki Aris Trimarjoko Intan Novita Dewi Intan Novitas Dewi Krisnawanti Louise Kezia Theresa Hutapea Suwandi Suwandi Tulus Martua Sihombing Wawan Herwanta