Chairunisa, Phoebe (2021) Analisis Efisiensi dan Produktivitas Tenaga Kerja di Industri Supply Chain dengan Pendekatan Lean Six Sigma pada PT "X". Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Salah satu tolak ukur kesuksesan invoice di PT “X” Site “A” adalah kecepatan proses, yang dapat diukur melalui produktivitas tenaga kerja. Penelitian ini bertujuan untuk meningkatkan performansi produktivitas tenaga kerja pada PT “X” dengan pendekatan lean six sigma terhadap produktivitas dan setup time pada PT “X”. Dengan metodologi DMAIC (Define, Measure, Analyze, Improve, dan Control), hasil measure produktivitas dan setup time menggunakan robust adaptive EWMA (Exponentially Weighted Moving Average) control chart dengan k = 3 dan λ optimum = 0,05 untuk produktivitas dan λ = 0,05 untuk setup time, yang menunjukkan bahwa produktivitas dan setup time belum terkendali secara statistik. Dilakukan perhitungan target baru menggunakan time-motion study yang menghasilkan target yang lebih kecil dari target sebelumnya. Tahap analyze dilakukan root cause analysis untuk mencari penyebab tiap waste menggunakan 5 whys, dan diagram Ishikawa untuk mengetahui faktor yang mempengaruhi produktivitas. Dihasilkan rekomendasi untuk membuat forecast volume inbound, outbound dan tenaga kerja per hari setiap minggu, menghilangkan aktivitas cek manual scan, melakukan pembaruan target setelah produktivitas stabil, dan pencatatan remark atau issue yang dihadapi per hari. Rekomendasi tersebut diharapkan memberikan solusi bagi permasalahan di PT “X” Site “A” sehingga dapat meningkatkan produktivitas secara keseluruhan.
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One of the benchmarks for the success of invoices at PT "X" Site "A" is the speed of the process, which can be measured through labor productivity. This study aims to improve the performance of labor productivity at PT "X" with a lean six sigma approach to productivity and setup time at PT "X". By using DMAIC (Define, Measure, Analyze, Improve, and Control), the measurement of productivity and setup time using a robust adaptive EWMA (Exponentially Weighted Moving Average) control chart with k = 3 and λ=0,05 for productivity and λ=0,05 for setup time, indicate that productivity and setup time have not been controlled statistically. A new target is calculated using a time-motion study which produces a smaller target than the previous target. Root Cause Analysis is used to find the cause of each waste using 5 whys, and Ishikawa diagrams to determine the factors that affect productivity. Recommendations were made to forecast the volume of inbound, outbound, and manpower per day every week, eliminating manual scan check activities, updating targets after stable productivity, and recording remarks or issues encountered per day. These recommendations are expected to provide solutions to problems at PT "X" site "A" to increase overall productivity.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | DMAIC, Lean Six Sigma, Produktivitas, Robust Adaptive EWMA Control Chart, Root Cause Analysis, Time-motion Study, DMAIC, Lean Six Sigma, Productivity, Robust Adaptive EWMA Control Chart, Root Cause Analysis, Time-motion Study. |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP |
| Divisions: | Faculty of Mathematics, Computation, and Data Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Phoebe Chairunisa |
| Date Deposited: | 01 Sep 2021 01:44 |
| Last Modified: | 30 Jul 2024 07:12 |
| URI: | http://repository.its.ac.id/id/eprint/91196 |
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