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Improving Lathe Efficiency through Overall Equipment Effectiveness and Automatic Maintenance Methods Bilal Setiyo Pangestu; Joumil Aidil Saifuddin
Advance Sustainable Science Engineering and Technology Vol. 7 No. 2 (2025): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i2.963

Abstract

In the current industrial era, operational efficiency is key for companies. Machining service providers can be seen from the number of workshops. At CV. XYZ has a lathe problem, there is no method for maintenance. Therefore, the purpose of this study is to calculate machine maintenance in companies using the Autonomous Maintenance (AM) method. From the calculation results obtained during January-June 2024, the highest average OEE value was in May 88.82%, Availability Rate parameters 88.76%, Performance Rate 99.28%, Rate of Quality 100%. The lowest average OEE value occurred in January 52.11% with Availability Rate parameters 76.44%, Performance Rate 90.66%, Rate of Quality 75%. From these results, it is necessary to have machine maintenance with indications for each component: cleaning the dynamo regularly, ensuring the on-off button is connected which is expected to increase effectiveness, extend machine life, and reduce maintenance costs.
Implementation of Lean Manufacturing in Reducing Waste and Improving Efficiency in Tapioca Flour Production Dhea Oktavia Saputri; Joumil Aidil Saifuddin
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 9 No 1 (2026): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v9i1.6603

Abstract

PT XYZ manufactures tapioca flour. This company faces various wastes in its production process, including defects, waiting, unnecessary inventory, overprocessing, unnecessary motion, overproduction, and transportation. This study uses a lean manufacturing approach, Value Stream Mapping, to identify and minimize waste, enhancing production time efficiency, and the kaizen method as a proposed improvement. The research was carried out through production flow mapping using Current Value Stream Mapping (CVSM) to pinpoint inefficiencies, Value Stream Analysis Tools (VALSAT) to determine tools, and fishbone diagrams for root cause analysis. Production efficiency is measured by Process Cycle Efficiency (PCE) before and after repairs. Proposed improvements include the implementation of kaizen through PDCA and 5S methods, as well as the preparation of Standard Operating Procedures (SOP) and the use of trolleys to improve the efficiency of product transfer. The results indicated a reduction in production lead time from 1,429 minutes to 1,194 minutes and a PCE increase from 63.89% to 76.47%.