PRABOWO, ROMMY FEBRI (2021) ANALISA PERBAIKAN KINERJA MUTU MESIN “HARD CHROME” PADA INDUSTRI JASA MAINTENANCE ENGINE DENGAN IMPLEMENTASI OVERALL EQUIPMENT EFECTIVENESS (OEE). S2 thesis, Universitas Mercu Buana Jakarta.
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Abstract
In this study, the company under study was an Industrial Maintenance Engine with Hard Chrome as the main service. In his work the increasing number of customer complaints about the results of repair work and the results of his work, so that the repaired spare parts to the workshop to be reworked. At the repair stage, the DMAIC approach and evaluation are carried out by calculating the Overall Equipment Effectiveness (OEE) and comparing it with OEE before repairs are carried out. and then the analysis discusses the factors affecting the Hard Chrome engine, found the six main disadvantages and other problems for which the bone diagram analysis method is used. Based on the calculation of the results using the analysis of six major losses, two dominant factors were found, namely impairment losses and impairment losses, where the proportion value of the decrease in loss was 70.14% and the speed loss was reduced by 27.91%. After that, a discussion was carried out using 5W1H as an improvement with the result that the losses caused by human factors to the average OEE value of Hard Chrome machines for the March 2020 period after repair were 72.06%, where the average value of Availability = 90.43%, Performance = 80, 24% and Quality = 99.31%. Dalam penelitian ini perusahaan yang diteliti adalah Industrial Maintenance Engine dengan jasa utama hard chrome. Dalam kegiatannya yang menjadi kendala adalah bertambahnya keluhan pelanggan mengenai hasil pekerjaan perbaikan dan hasil pengerjaannya, sehingga suku cadang yang sudah diperbaiki harus dikembalikan ke bengkel untuk dikerjakan ulang. Pada tahap perbaikan dilakukan pendekatan DMAIC dan evaluasi dengan menghitung Overall Equipment Effectiveness (OEE) dan membandingkannya dengan OEE sebelum dilakukan perbaikan. dan kemudian analisis tersebut membahas faktor-faktor yang mempengaruhi efektivitas mesin hard chrome, yang ditemukan pada Six Big Losses dan masalah lain dimana metode analisis diagram Fishbone digunakan. Berdasarkan hasil perhitungan menggunakan analisis enam kerugian besar, ditemukan dua faktor dominan yaitu deffect losses dan reduce speed losses, dimana nilai persentase kumulatif deffect losses sebesar 70,14% dan reduce speed losses berkurang 27,91%. Setelah itu dilakukan pembahasan dengan menggunakan 5W1H sebagai Improvement dengan hasil bahwa kerugian disebabkan dari faktor manusia dan rata-rata nilai OEE mesin hard chrome periode Maret hingga Juni 2020 setelah improvement sebesar 72.06%, dimana nilai rata-rata Availability = 90.43%, Performance = 80,24 % dan Quality = 99,31%
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