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"Kolaborasi menjadi pilihan banyak perusahaan untuk meningkatkan efektivitas dan efisiensi rantai suplai mereka. Semakin besar pengaruh persaingan global, kolaborasi semakin dibutuhkan. Collaborative Planning, Forecasting, and Replenishment memberikan kerangka kolaborasi yang solid. Implementasi CPFR di PT X memanfaatkan sistem jaringan aplikasi untuk proses perencanaan produksi tahunan. Untuk mengembangkannya, diperlukan analisis terhadap kebutuhan pengguna yang dilakukan dengan volere process model, kemudian dilakukan analisis aspek fungsional sistem menggunakan IDEF0 sebelum sistem didesain. Rancangan sistem perencanaan produksi tahunan tersebut dapat melakukan proses maintain data master, upload perencanaan kendaraan dan komponen, breakdown dan kalkulasi data, penggabungan data, dan pengelompokan hasil akhir. Selain itu, untuk mendukung implementasi CPFR, komunikasi dua arah antara perusahaan dengan suplier-supliernya harus dibangun.

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Collaboration has become the choice of many companies to increase their supply chain effectivity and efficiency. Due to growing global competition's influence, collaboration is more needed. Collaborative Planning, Forecasting, and Replenishment provides solid collaboration framework. The CPFR implementation in PT X applies application network system for annual production planning process. In order to develop it, analysis on user requirement conducted using volere process model. Afterwards, functional system analysis conducted using IDEF0 before designing the system. Annual production plan system design can mantain master data, upload vehicle and part planning, breakdown and calculate data, consolidate data, and inquiry final result data. In addition, to support the CPFR implementation, two-ways communication between the company and its suppliers should be established."

"Skripsi ini membahas tentang analisa pengendalian debu yang dilakukan pada area produksi Pre Cut PT X tahun 2011. Penelitian ini adalah penelitian semi-kuantitatif dengan desain observasional. Variabel yang diteliti adalah tingkat konsentrasi debu pekerja, ventilasi alami, local exhaust ventilation, housekeeping, dan alat pelindung diri. Berdasarkan hasil penelitian menunjukan bahwa pengendalian yang dilakukan pada area produksi Pre Cut belum efektif dalam mengendalikan debu. Hal tersebut dibuktikan dengan hasil pengukuran konsentrasi debu di tiga unit (unit kerja pembelahan sebesar 1.765 mg/m3, unit kerja pemotongan sebesar 1.389 mg/m3, dan unit kerja penyerutan sebesar 0.016 mg/m3) dimana dua dari tiga unit kerja yang ada di area Pre Cut telah melewati Nilai Ambang Batas (1 mg/m3) yaitu unit kerja pmbelahan dan unit kerja pemotongan.

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This research discusses the analysis of dust control in the Pre Cut production area at X Company 2011. This study is a semi-quantitative study with observational designs. The variables studied were level of dust concentration of workers, natural ventilation, local exhaust ventilation, housekeeping, and personal protective equipment.

Based on the results of research showed that the control in Pre Cut production areas have not been effective in controlling dust. This is evidenced by the results of measurements of dust concentration in the three units (fission units 1.765 mg/m3 division, cutting unit of 1.389 mg/m3, and shaving unit 0.016 mg/m3) in which two of the three units in the area pre Cut has passed the Threshold Limit Value (1 mg/m3) are fission unit and cutting unit."

"ABSTRAKFormaldehida merupakan senyawa kimia yang digunakan pada industri perekat. PT X merupakan produsen formaldehida di Jawa Timur. Sistem pengendali proses yang digunakan di PT X masih berbasis proportional integral (PI). Pengendali konvensional ini masih memiliki kekurangan. Multivariable model predictive control (MMPC) diajukan untuk meningkatkan kinerja sistem pengendali pada PT X. Model empiris dibuat menggunakan process reaction curve (PRC) dan perhitungan parameter first order plus dead time (FOPDT). Empat manipulated variable (MV) dan empat controlled variable (CV) membentuk 16 model empiris. Perhitungan parameter MMPC, meliputi sample time (T), prediction horizon (P), control horizon (M), dilakukan dengan metode Shridhar dan Cooper (1998) dan dioptimalkan dengan metode fine tuning. Kinerja pengendalian MMPC diuji dengan perubahan set point (SP) dan ketahanan atas gangguan (disturbance rejection). Empat pengendali yang diuji, yaitu pengendali tekanan evaporator (PIC-101), pengendali liquid percent level evaporator (LIC-101), pengendali laju alir steam (FIC-102), dan pengendali suhu udara (TIC-101). Nilai parameter MMPC meliputi T, P, dan M yang optimal berturut turut adalah 3, 62, dan 2. Pengendali MMPC dapat memberikan peningkatan kinerja pengendalian pada uji SP tracking dengan rata rata sebesar 33,24% untuk IAE dan 42,93% untuk ISE. Sedangkan, pada uji disturbance rejection, terdapat peningkatan kinerja dengan rata-rata sebesar 33,48% untuk IAE dan 58,08% untuk ISE.

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ABSTRACT

Formaldehyde is chemical substances that is used in adhesive industry. PT X is formaldehyde producer in East Java. PT X is using proportional integral based control system. This conventional controller has several weaknesses. Multivariable model predictive control (MMPC) is used to increase the performance of control system at PT X. Empirical model is made with process reaction curve (PRC) followed by first order plus dead time (FOPDT) calculation. Four manipulated variable (MV) and four controlled variable (CV) will construct 16 empirical models. Calculation of MMPC parameter, which include sample time (T), prediction horizon (P), and control horizon (M), is done with Shridhar and Cooper method (1998) and optimized by fine tuning method. Performance of MMPC is tested by set point changes and disturbance rejection. Four controllers tested are evaporator pressure control (PIC-101), liquid percent level control (LIC-101), steam flow control (FIC-102), and air temperature control (TIC-101). The optimized parameter of MMPC which include T, P, and M are 3, 62, and 2 respectively. MMPC Controller can increase controller performance in SP tracking with average number of 33.24% for IAE and 42.93% of ISE. Meanwhile, in disturbance rejection, there is an increase in average of 33.485 for IAE and 58.08% for ISE."