A Cumulative Score Control Scheme for detecting process shift: Operating Characteristic and Design Strategy
碩士 === 元智大學 === 工業工程研究所 === 82 === Control charting is an important technique in statistical process control.It is often used to determine if a manufacturing process has achieved a state of control and to detect the out-of-control...
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/58606828036441813065 |
| Summary: | 碩士 === 元智大學 === 工業工程研究所 === 82 === Control charting is an important technique in statistical
process control.It is often used to determine if a
manufacturing process has achieved a state of control and
to detect the out-of-control situations. A process is in
control if no point falls outside the control limits or no
systematic variations are present in the process data. Over
the years, Shewhart control charts have been the most widely
used control scheme in industry. They are simple to use and can
detect large shifts faster than other cont ol schemes. A
criticism of Shewhart control schemes is that they only
use the information about the process contained in the
last observation. This feature makes Shewhart control charts
relatively insensitive to small shifts in the process mean.
In this research, a cumulative score control procedure based on
a single control statistic has been developed. The proposed
control procedure is designed to supplement the
traditional Shewhart charts in detecting small process
shifts. The ARL properties of the proposed schemes were
determined by a finite state Markov chain. An extensive
comparison shows that the ARL properties of the improved
cumulative score procedure are comparable to those of
Shewhart-CUSUM control schemes. The proposed scheme
required only simple algorithmetic and is very easy to
implement.
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