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Analisis Distribusi Waktu Kerusakan Mesin pada Lini Produksi Cylinder Comp K-XX (Studi Kasus: PT XYZ) Gidion Karo-Karo; Panca Jodiawan
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 9, No 1 (2016): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v9i1.129

Abstract

Technologies development has led industries to the usage of machinery. It certainly will give more output to increase the responsiveness of customers’demand. However, as a machine has a lot of advantages, it will also bear some disadvantages which one of them is downtime issue. A big amount of downtime in a machine will decrease the production overall efficiency. Efforts have been made since a long time ago to overcome downtime issue which one of them that is frequently used is preventive maintenance. Preventive maintenance planning can be implemented if reliability assessment has been made on the related machine, so the preventive maintenance interval can be determined. At XYZ’s corporation, there are two machines which were determined as the object for these report, RB037 and HO012P. Time Between Failure (TBF) of RB037 follows the normal distribution with mean equals to 171,22, standard deviation equals to 107,003, and has an increasing hazard rate. In the other side, HO012P follows the Weibull distribution with shape characteristics equals to 3,067 and scale characteristics equals to 577,96 and has an increasing hazard rate too. Between these two machines, RB037 has bigger hazard rate than HO012P, so further preventive maintenance should be planned well.Keywords: Downtime, Preventive Maintenance, Reliability.
Usulan Peningkatan Efisiensi Stasiun Kerja pada Lini Perakitan Current Coil (Studi Kasus: PT. Padma Soode Indonesia) Gidion Karo-Karo; Seri Hendra
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 8, No 2 (2015): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v8i2.121

Abstract

PT.Padma SOODE Indonesia adalah perusahaan yang bergerak di bagian logam presisi stamping, presisi plastik molding, dan presisi perakitan elektronik. Untuk mengurangi perbedaan tingkat efisiensi karena perbedaan waktu antara unsur-unsur siklus bekerja, dilakukan Line Balancing. Metode yang digunakan dalam penelitian ini adalah metode Line Balancing Helgeson-Birnie, metode peramalan dan Weight Moving Average, Moving Average, metode pengukuran akurasi peramalan berarti kuadrat kesalahan, dan ProModel 6.0 software untuk menguji kemampuan stasiun kerja untuk memenuhi permintaan. Hasil yang diperoleh dengan menggunakan metode - metode di atas diperlukan 4 stasiun kerja selama 4 bulan terakhir dengan kemampuan untuk merakit 49,504 pcs (jumlah permintaan tertinggi berdasarkan peramalan empat periode rata-rata bergerak selama 4 bulan terakhir) coil saat ini dalam 153,51 jam dari total 160 jam waktu kerja dan rata-rata - rata-rata kenaikan tingkat efisiensi selama 4 bulan terakhir sebanyak 9,92%.Keywords: Line Balancing, Helgeson-Birnie, Peramalan, Moving Average, Weight Moving Average, Means Squared Error.
Usulan Peramalan Produksi Mobil BMW dengan Jadwal Produksi Induk dan Perencanaan Material terhadap Divisi Logistic Produk Planning (Studi Kasus: PT. Tjahja Sakti Motor, Jakarta Utara) Gidion Karo-Karo; Wahyu Eka Munardi
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 8, No 1 (2015): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v8i1.132

Abstract

The delay of productivity process can make losses that are not small, even that losses can make the organization bankrupt. PT. Tjahja Sakti Motor do not yet have forecasting method, forecasting is only based on order BMW Indonesia. It can make the demand from the other consumer can't be fulfilled. To avoid that, they need a right forecasting method for fulfilling the demand. Researcher tries to make forecasting method that fit with demand in PT. Tjahja Sakti Motor. Researcher uses actual data demand from 2012 until 2014. After that, the researcher concluded that demand data is random demand. Therefore researcher must choose one from three forecasting method that fit with the random demand data (Simple Moving Average, Weighted Moving Average, and Exponential Smoothing). Weighted Moving Average is chosen, because have Tacking Signal with the smallest interval (-2.03 - 3.09). After decided the method of forecasting, researcher makes Master Production Planning (MPS) which breakdown to be Material Requirement Planning (MRP) with Bill Of Material (BOM) until level two.Keywords: Peramalan, Tracking Signal, MPS, MRP, BOM