QUALITY IMPROVEMENT IN PT X DYEING DEPARTMENT BYIMPLEMENTING SIX SIGMA (A CASE STUDY OF INDONESIAN TEXTILE COMPANY)
PT X Textile located in Majalaya is considered as one of Indonesian major textile company <br /> <br /> that capable to produce almost any kind of fabric. As any other manufacturing companies, <br /> <br /> production process played a fundamental role on company’s develop...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/26257 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | PT X Textile located in Majalaya is considered as one of Indonesian major textile company <br />
<br />
that capable to produce almost any kind of fabric. As any other manufacturing companies, <br />
<br />
production process played a fundamental role on company’s development. In addition, defects <br />
<br />
in textile industry cannot be underestimated because the quality of finished goods depend <br />
<br />
almost altogether upon every process employed. The errors mostly happened in the Dyeing <br />
<br />
Department, simply because it’s the most complex, tricky and required significantly more time <br />
<br />
to operate than other processes. Latest data also shows that the percentage of defective product <br />
<br />
still exceeds company’s standard by 2 times. Hence, the objective of this research is to help PT <br />
<br />
X overcome the problem and improve their overall quality by implementing Six Sigma <br />
<br />
framework with DMAIC methodology. It deeply explores (1) company’s current production <br />
<br />
performance, (2) identify the root cause(s) that affect the quality of post-dyed yarn and (3) <br />
<br />
disclose them by providing remedial solution(s). The findings of this research are; (1) the <br />
<br />
Dyeing Department operated at 3 sigma level and yielded 6% of defects from total production <br />
<br />
in the year of 2017, (2) root causes are MAN (human error), MACHINE (power failure, broken <br />
<br />
part), MATERIAL (inferior chemical substances), METHOD (lack of quality control and <br />
<br />
formula pre-test) and (3) propose alternative improvement solutions (e.g. tighten HR <br />
<br />
management system, employ genset, establish responsive repairing service, order only from <br />
<br />
certified supplier, assign additional staff, conduct a formula pre-test) and control plan for each <br />
<br />
identified root cause. |
|---|