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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%.
Waste Analysis Using Value Stream Mapping (VSM) And FMEA In The Implementation Of Lean Manufacturing On The Woven Bag Production Line At PT. Kerta Rajasa Raya Dewi Mardiana Aditya; Joumil Aidil Saifuddin; Yekti Condro Winursito
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v7i1.666

Abstract

This research aims to analyze and reduce waste in the woven bag production line at PT Kerta Rajasa Raya through the Lean Manufacturing approach using the Value Stream Mapping (VSM) and Failure Mode and Effect Analysis (FMEA) methods. The company experienced various types of waste such as waiting time, unnecessary movement, over-processing, and product defects, which led to a decrease in production efficiency. The analysis results showed that the highest types of waste were unnecessary motion, defects, and excess processing. Using VSM, it was found that of the total production time of 51,997 seconds, only 51.1% were value-added activities. Through the application of FMEA, the main causes of waste were identified based on the highest Risk Priority Number (RPN) value, and a number of improvement recommendations were designed such as improving work layout, implementing quality gate, and strengthening preventive maintenance. After the improvement, production time was reduced to 42,139 seconds and process cycle efficiency increased to 63.1%. These results show that the application of Lean Manufacturing through VSM and FMEA is effective in improving production efficiency and reducing waste in the company.