ANALISIS PENGENDALIAN KUALITAS INDUSTRI TEKSTIL DENGAN METODE SIX SIGMA (DMAIC) DI PT. PRIMISSIMA
ABSTRACT By the time there is a perspective of consumers that is concern about the product quality, for example the best quality products at low prices. Quality had to be paramount and must be maintained by the company in order to meet the demands of consumers which is very critical and selective. P...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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| _version_ | 1797034694581157888 |
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| author | , PINANDITO TUR WICAKSONO , Ir. Janu Pardadi, MT |
| author_facet | , PINANDITO TUR WICAKSONO , Ir. Janu Pardadi, MT |
| author_sort | , PINANDITO TUR WICAKSONO |
| collection | UGM |
| description | ABSTRACT
By the time there is a perspective of consumers that is concern about the
product quality, for example the best quality products at low prices. Quality had to
be paramount and must be maintained by the company in order to meet the
demands of consumers which is very critical and selective. Problems will arise if a
company can not control the quality of a product well, the problems that could be
emerge such as cost of poor quality, and reduced the loyalty from the consumers
to the products. Therefore, this study proposed a quality control system approach
six sigma DMAIC method (Define, Measure, Analysis, Improve, and Control) as
a technique that can evaluate and control the quality improvement expectations
towards zero failure rate (zero defect). Objective to analyze the causes of product
defects by methods of six sigma (DMAIC) to reducing defects, and provide
recommendations for improvements to the company.
This research was conducted in PT . PRIMISSIMA located in Yogyakarta
and focusing on improving product quality gray fabric shuttle loom. The analysis
obtained by using the six sigma method showed that the shuttle loom gray fabric
production is still not under control . And analysis of the results obtained from the
sigma capability of 3.74 with DPMO = 12 443 , meaning that in a million there
are 12 443 products that have disabilities . And the calculation of control chart
showed that UCL = 0.43, CL = 0,41 and LCL = 0.39 . Now we know the value of
sigma process, and analyzed using Pareto, and cause-effect diagram, based on
Pareto analysis of defects there are seven criteria that major problem that the
company derived 80 % loss, whereas the cause-effect diagram analysis on the
resulting fabric looms seen many become disabled, especially on the engine loom.
Then remedial measures using the FMEA method, the results appear by RPN
(Risk Priority Number) = 245, which is the largest value that takes priority action
on equipment .
The conclusion from these studies is the process of map control is done,
there are 15 data are still outside of the control limit calculations, which is caused
the data outside the control limits, that is caused by a specific causes within the
system that is still not good. recommendations that can be given to the PT.
PRIMISSIMA based on this analysis is to give priority to maintenance on the
engine, especially on the components that are often damaged. It is expected that
the improvement plan can be implemented and improve product quality in PT .
PRIMISSIMA. |
| first_indexed | 2024-03-13T23:15:40Z |
| format | Thesis |
| id | oai:generic.eprints.org:127017 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T23:15:40Z |
| publishDate | 2014 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1270172016-03-04T08:06:20Z https://repository.ugm.ac.id/127017/ ANALISIS PENGENDALIAN KUALITAS INDUSTRI TEKSTIL DENGAN METODE SIX SIGMA (DMAIC) DI PT. PRIMISSIMA , PINANDITO TUR WICAKSONO , Ir. Janu Pardadi, MT ETD ABSTRACT By the time there is a perspective of consumers that is concern about the product quality, for example the best quality products at low prices. Quality had to be paramount and must be maintained by the company in order to meet the demands of consumers which is very critical and selective. Problems will arise if a company can not control the quality of a product well, the problems that could be emerge such as cost of poor quality, and reduced the loyalty from the consumers to the products. Therefore, this study proposed a quality control system approach six sigma DMAIC method (Define, Measure, Analysis, Improve, and Control) as a technique that can evaluate and control the quality improvement expectations towards zero failure rate (zero defect). Objective to analyze the causes of product defects by methods of six sigma (DMAIC) to reducing defects, and provide recommendations for improvements to the company. This research was conducted in PT . PRIMISSIMA located in Yogyakarta and focusing on improving product quality gray fabric shuttle loom. The analysis obtained by using the six sigma method showed that the shuttle loom gray fabric production is still not under control . And analysis of the results obtained from the sigma capability of 3.74 with DPMO = 12 443 , meaning that in a million there are 12 443 products that have disabilities . And the calculation of control chart showed that UCL = 0.43, CL = 0,41 and LCL = 0.39 . Now we know the value of sigma process, and analyzed using Pareto, and cause-effect diagram, based on Pareto analysis of defects there are seven criteria that major problem that the company derived 80 % loss, whereas the cause-effect diagram analysis on the resulting fabric looms seen many become disabled, especially on the engine loom. Then remedial measures using the FMEA method, the results appear by RPN (Risk Priority Number) = 245, which is the largest value that takes priority action on equipment . The conclusion from these studies is the process of map control is done, there are 15 data are still outside of the control limit calculations, which is caused the data outside the control limits, that is caused by a specific causes within the system that is still not good. recommendations that can be given to the PT. PRIMISSIMA based on this analysis is to give priority to maintenance on the engine, especially on the components that are often damaged. It is expected that the improvement plan can be implemented and improve product quality in PT . PRIMISSIMA. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , PINANDITO TUR WICAKSONO and , Ir. Janu Pardadi, MT (2014) ANALISIS PENGENDALIAN KUALITAS INDUSTRI TEKSTIL DENGAN METODE SIX SIGMA (DMAIC) DI PT. PRIMISSIMA. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=67258 |
| spellingShingle | ETD , PINANDITO TUR WICAKSONO , Ir. Janu Pardadi, MT ANALISIS PENGENDALIAN KUALITAS INDUSTRI TEKSTIL DENGAN METODE SIX SIGMA (DMAIC) DI PT. PRIMISSIMA |
| title | ANALISIS PENGENDALIAN KUALITAS INDUSTRI TEKSTIL DENGAN METODE SIX SIGMA (DMAIC) DI PT. PRIMISSIMA |
| title_full | ANALISIS PENGENDALIAN KUALITAS INDUSTRI TEKSTIL DENGAN METODE SIX SIGMA (DMAIC) DI PT. PRIMISSIMA |
| title_fullStr | ANALISIS PENGENDALIAN KUALITAS INDUSTRI TEKSTIL DENGAN METODE SIX SIGMA (DMAIC) DI PT. PRIMISSIMA |
| title_full_unstemmed | ANALISIS PENGENDALIAN KUALITAS INDUSTRI TEKSTIL DENGAN METODE SIX SIGMA (DMAIC) DI PT. PRIMISSIMA |
| title_short | ANALISIS PENGENDALIAN KUALITAS INDUSTRI TEKSTIL DENGAN METODE SIX SIGMA (DMAIC) DI PT. PRIMISSIMA |
| title_sort | analisis pengendalian kualitas industri tekstil dengan metode six sigma dmaic di pt primissima |
| topic | ETD |
| work_keys_str_mv | AT pinanditoturwicaksono analisispengendaliankualitasindustritekstildenganmetodesixsigmadmaicdiptprimissima AT irjanupardadimt analisispengendaliankualitasindustritekstildenganmetodesixsigmadmaicdiptprimissima |