PENINGKATAN KUALITAS BENANG DTY SINGLE 150D/48F PADA MESIN CONE WENDER MENGGUNAKAN METODE SIX SIGMA DAN FACTORIAL DESIGN DI PT. GEMILANG TEXINDOTAMA
| Main Authors: | Lithrone Laricha Salomon; Tarumanagara University, Wilson Kosasih; Tarumanagara University, Lilyana Jap; Tarumanagara University |
|---|---|
| Format: | Article application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Prodi Teknik Industri FT Untar
, 2014
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| Subjects: | |
| Online Access: |
http://journal.tarumanagara.ac.id/index.php/jidtind/article/view/1648 |
Daftar Isi:
- PT. GMT is a field of textile manufacturing company that produces a variety of sizes and types of yarn as yarn single and double yarn (twist). The problem faced by the company is a lot of error in the thread rolling machine Wender cone so that the thread does not conform to the standard. To overcome this problem, the design of experiments carried out by the method of factorial design to determine the optimum machine settings and the results of each of the factors that influence the interaction. FMEA analysis conducted research with factors such as connection weight bound, while the pool of lubricants, thread break when lifted, less long traverse length, and weight varied doffing. With three types of cone machine side Wender (12, 16, and 32 sides) there are three main factors that affect the value of the setting of the machine that the engine rotation speed (speed), traverse length, and the lower pendulum (weight bound). Testing machine settings made there are two levels, namely level with the state of the company's current and proposed levels. Based on the results of data processing was concluded a few things: the type of yarn defects are the most widely produced yarn and thread ring dirty., Capability at the beginning of the process is still very low and needs to be level, factors that affect the optimum settings Wender cone machine is Speed (400 RPM) and Weight bound (40 gr). From the analysis results obtained Grade A simulation application increased 95.45317% to 95.58280985%. Means an increase rose by 0.129% (per week).