Simulation study of statistical process control schemes performance for monitoring variation
The research objectives are to study evaluate performance of traditional control charts that are Shewhart and EWMA both .In monitoring small and large process mean shifts and to propose an improved statistical process control charting procedure that effective for monitoring all process mean shifts ....
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| Format: | Thesis |
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2014
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| Online Access: | http://eprints.uthm.edu.my/5649/ http://eprints.uthm.edu.my/5649/1/HADEER_TALEB_SHOMRAN.pdf |
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| Summary: | The research objectives are to study evaluate performance of traditional control charts that are Shewhart and EWMA both .In monitoring small and large process mean shifts and to propose an improved statistical process control charting procedure that effective for monitoring all process mean shifts . In general Process mean shift can be described as unstable patterns. In this research concentration on the shifts pattern Average run length ARL in both types ARL stable and ARL unstable, Type I Error and Type II Error is used as the performance measures The charting procedures were coded in MATLAB program and extensive simulation experiments were conducted. Design of Experiment (DOE) methods were applied in selecting the suitable design parameters of control charts before conducting the detail ARL simulations. The ARL simulation identifies each control chart monitoring advantages and disadvantages . In general EWMA control charts are more effective for detecting the variation process in small mean shifts compare with the Shewhart control charts While the Shewhart control charts were more effective for detecting the variation process in large mean shift . Specifically, EWMA with (.=0. 05, L=2. 615) and (.=0. 1 , L=2. 81) were identified produced a small Type .I error, so effective for monitoring small and process mean shift, more effective than Shwehart control chart . But at large mean shift 3s Shwehart gives more effective to detect the variation in the process . |
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