2011 Fiscal Year Final Research Report
Statistical Process Control for the production of multi-item and small-sized
| Project/Area Number |
21710161
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Tokyo University of Science |
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Principal Investigator |
YASUI Seiichi 東京理科大学, 理工学部, 助教 (90434026)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 品質管理 / 統計的工程管理 |
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| Research Abstract |
A flexible manufacturing system(FMS) enabled the production of multi-item and small-sized. By an automatic measurement system, we can take a large amount of observations at short time. However, the observations are not utilized for statistical process control, effectively. The observations from FMS include some variation patterns and outliers, therefore it is difficult to implement conventional statistical process control. In this study, it is developed that the data analysis technique which extracts effective information for improving and controlling a FMS process. For practical quality data expressed as profile or functional data, conventional approach is applied. As a result, a certain kind of profile data induces serious trouble. The causes are investigated through theoretical approach.
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