Usulan Dalam Mereduksi Kegagalan Untuk Perbaikan Kualitas Pada Industrial Automation

One of the leading automation companies in Indonesia is producing production to meet the needs of industrial automation or robot parts, and to meet the needs of companies using the linear guidance techniques available on 3D Printers. There is a noticeable difference in consumer behavior, where the q...

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Main Author: tosty maylangi sitorus
Format: Article
Language:Indonesian
Published: Universitas Islam Negeri Sultan Syarif Kasim 2021-12-01
Series:Jurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
Online Access:https://ejournal.uin-suska.ac.id/index.php/jti/article/view/12239
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author tosty maylangi sitorus
author_facet tosty maylangi sitorus
author_sort tosty maylangi sitorus
collection DOAJ
description One of the leading automation companies in Indonesia is producing production to meet the needs of industrial automation or robot parts, and to meet the needs of companies using the linear guidance techniques available on 3D Printers. There is a noticeable difference in consumer behavior, where the quality of hand-held connectors is poor, which is reflected in the increase in the number of complaints that exceed the company's monthly limit. Using the process control statistics (SPC) method, cause and effect, and the 5W+1H method as in the previous study, the proposed improvements will be determined by the production of hand connectors on 3D Printers. Based on the results of the study, 2 points approached the control limit (UCL) on the P chart, which is the 5th and 10th observation data. This indicates that there is a mismatch in the product being produced. Causes of differentiation are derived based on the following factors: Engine (non-optimal machine condition); Methods (design work that requires new ideas to meet customer needs); Material (PLA does not meet standard and Expiration); Human (does not work according to SOP and employees are not in prime condition); Environment (high humidity level). The proposed improvement is obtained by the 5W + 1H method. Keywords: Quality Improvement, Industrial Automation, SPC, Cause and Effect Diagram, 5W+1H
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issn 2460-898X
2714-6235
language Indonesian
publishDate 2021-12-01
publisher Universitas Islam Negeri Sultan Syarif Kasim
record_format Article
series Jurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
spelling doaj-art-bf634369e9cd45e39d8e96ccd41b3b292025-08-20T02:19:48ZindUniversitas Islam Negeri Sultan Syarif KasimJurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri2460-898X2714-62352021-12-017213914510.24014/jti.v7i2.122396506Usulan Dalam Mereduksi Kegagalan Untuk Perbaikan Kualitas Pada Industrial Automationtosty maylangi sitorus0Politeknik ATI PadangOne of the leading automation companies in Indonesia is producing production to meet the needs of industrial automation or robot parts, and to meet the needs of companies using the linear guidance techniques available on 3D Printers. There is a noticeable difference in consumer behavior, where the quality of hand-held connectors is poor, which is reflected in the increase in the number of complaints that exceed the company's monthly limit. Using the process control statistics (SPC) method, cause and effect, and the 5W+1H method as in the previous study, the proposed improvements will be determined by the production of hand connectors on 3D Printers. Based on the results of the study, 2 points approached the control limit (UCL) on the P chart, which is the 5th and 10th observation data. This indicates that there is a mismatch in the product being produced. Causes of differentiation are derived based on the following factors: Engine (non-optimal machine condition); Methods (design work that requires new ideas to meet customer needs); Material (PLA does not meet standard and Expiration); Human (does not work according to SOP and employees are not in prime condition); Environment (high humidity level). The proposed improvement is obtained by the 5W + 1H method. Keywords: Quality Improvement, Industrial Automation, SPC, Cause and Effect Diagram, 5W+1Hhttps://ejournal.uin-suska.ac.id/index.php/jti/article/view/12239
spellingShingle tosty maylangi sitorus
Usulan Dalam Mereduksi Kegagalan Untuk Perbaikan Kualitas Pada Industrial Automation
Jurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
title Usulan Dalam Mereduksi Kegagalan Untuk Perbaikan Kualitas Pada Industrial Automation
title_full Usulan Dalam Mereduksi Kegagalan Untuk Perbaikan Kualitas Pada Industrial Automation
title_fullStr Usulan Dalam Mereduksi Kegagalan Untuk Perbaikan Kualitas Pada Industrial Automation
title_full_unstemmed Usulan Dalam Mereduksi Kegagalan Untuk Perbaikan Kualitas Pada Industrial Automation
title_short Usulan Dalam Mereduksi Kegagalan Untuk Perbaikan Kualitas Pada Industrial Automation
title_sort usulan dalam mereduksi kegagalan untuk perbaikan kualitas pada industrial automation
url https://ejournal.uin-suska.ac.id/index.php/jti/article/view/12239
work_keys_str_mv AT tostymaylangisitorus usulandalammereduksikegagalanuntukperbaikankualitaspadaindustrialautomation