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Optimal design and analysis of process control charts

Author: WangHaiYu
Tutor: XuJiChao
School: Northwestern Polytechnical University
Course: Management Science and Engineering
Keywords: Control Charts The average run length (ARL) The average product length (ARL) Sample size Sampling ratio The line of control parameters Robust Design False alarms rate
CLC: TB11
Type: Master's thesis
Year: 2003
Downloads: 377
Quote: 5
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Abstract


Control chart is used for the analysis and determination step is in a control state with the control limits , which by a graphic method , showing the fluctuations in the quality of the production process changes over time , and analysis of the system to determine whether it is due to an accidental factor or because factors , which prompts managers to take timely measures to eliminate the impact of system factors , maintain a steady state process and dynamic control of statistical methods . It is one of the basic methods of quality management and control of the enterprise , and plays a vital role in the product quality is good or bad . A more comprehensive analysis and research on the design and use of control charts . This paper first introduces the background knowledge of quality management and statistical process control , and pointed out that the use of today's most widely Shewhart control charts defects , proposed a design simple and effective method of control charts . Usually the sample size , sampling ratio , choice and control lines are three main indicators of the design of the control chart . Average run length (APL) is a standard measure of the effectiveness of the control chart input to sampling ratio and the maximum acceptable error alarm rate , through the model to determine the optimal sample size and the line of control parameters . This approach is extended to the special design of the control chart , discuss the measured values ??follow a normal situation , but also analyze the skewed distribution , small batch production , small fluctuations in the detection and counting control charts , etc. the case when the optimal design of the control scheme . Finally, the control chart design method is better put into practice in order to make this design method , the actual operation process offset is not a fixed reality to explore the use of robust design thinking , and use a simple example to Description .

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