Quality Control Circles Technique for Reducing Fine Bored Parts Rejects After Tool Change

This study aims to assess reduction of rejects after tool change in a crankshaft manufacturing industry using Quality Control Circles (QCC) technique. Four months production data of crankshaft was collected and analyzed in 2022 in one of the largest automotive industries in Indonesia. Fine boring process was identified as the largest contributor of rejects. QCC activities were conducted to streamline the type of rejects in fine boring. QCC introduced a new intermediate action in calibrating machine setting after tool change. The results show a significant reduction in the level of rejection from 35% to just 5% of total rejects in the fine boring process after this QCC method was implemented. This result shows that this QCC method, by brainstorming among employees, can continuously improve and solve the problem in the workplace. This QCC method not just reduce the reject rate but also increasing morale, safety maintenance for employee, smoothness in supplying the next process, and reducing the cost (QCDSM). The limitation of this method is high dependency to the knowledge, experience and skill of the QCC team. Development of QCC team in term of new knowledge may lead to future improvement opportunity through development of quality control techniques with incorporation of internet of things or smart devices.

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Publication Details

Journal
Proceeding of The International Conference on Multidisciplinary Research for Sustainable Innovation.
Published
2024-08-12
DOI
https://doi.org/10.31098/icmrsi.v1i.804
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.35
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article

Quality Control Circles Technique for Reducing Fine Bored Parts Rejects After Tool Change

Yan Yan Farm, Mohd Suffian Misaran, Bih Lii Chua, Sulaeman Sulaeman
1 citations
Proceeding of The International Conference on Multidisciplinary Research for Sustainable Innovation.
Manufacturing Process and Optimization
0.35
article

Quality Control Circles Technique for Reducing Fine Bored Parts Rejects After Tool Change

Yan Yan Farm, Mohd Suffian Misaran, Bih Lii Chua, Sulaeman Sulaeman
article en
1 citations

Abstract

This study aims to assess reduction of rejects after tool change in a crankshaft manufacturing industry using Quality Control Circles (QCC) technique. Four months production data of crankshaft was collected and analyzed in 2022 in one of the largest automotive industries in Indonesia. Fine boring process was identified as the largest contributor of rejects. QCC activities were conducted to streamline the type of rejects in fine boring. QCC introduced a new intermediate action in calibrating machine setting after tool change. The results show a significant reduction in the level of rejection from 35% to just 5% of total rejects in the fine boring process after this QCC method was implemented. This result shows that this QCC method, by brainstorming among employees, can continuously improve and solve the problem in the workplace. This QCC method not just reduce the reject rate but also increasing morale, safety maintenance for employee, smoothness in supplying the next process, and reducing the cost (QCDSM). The limitation of this method is high dependency to the knowledge, experience and skill of the QCC team. Development of QCC team in term of new knowledge may lead to future improvement opportunity through development of quality control techniques with incorporation of internet of things or smart devices.

Proceeding of The International Conference on Multidisciplinary Research for Sustainable Innovation.Vol. 1
Universiti of Malaysia Sabah (MY)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Manufacturing Process and Optimization
0.35
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Quality Control Circles Technique for Reducing Fine Bored Parts Rejects After Tool Change — Yan Yan Farm, Mohd Suffian Misaran, et al. · Proceeding of The International Conference on Multidisciplinary Research for Sustainable Innovation. (2024) | TGRS Research Map | TGRS