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Zhongguó gongchéng xuékan
Control charts are widely used statistical tools for monitoring process quality, even when data is imprecise or uncertain. Traditional approaches, however, often struggle to adequately represent the ambiguity present in such data.
G. V. Sriramachandran +3 more
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Control charts are widely used statistical tools for monitoring process quality, even when data is imprecise or uncertain. Traditional approaches, however, often struggle to adequately represent the ambiguity present in such data.
G. V. Sriramachandran +3 more
semanticscholar +1 more source
Joint economic design of X-bar and R charts using simulated annealing
International Journal of Process Management and Benchmarking, 2014The basic purpose of the economic design of a control chart is to find the optimum values for control chart parameters to minimise the total cost of process control. This paper deals with the joint economic design of X-bar and R charts. In the present work, simulated annealing which is one of the global optimisation techniques has been employed for the
Abhijeet Ganguly, Saroj Kumar Patel
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X-bar control chart design with asymmetric control limits and triple sampling
The International Journal of Advanced Manufacturing Technology, 2018The aim of the present study is to propose a control chart with asymmetric limits and triple sampling. Two topics have deserved closer attention of researchers in the process control field. The parameter variation is a construction approach for the most economic and robust control chart in the statistical control process.
Pedro Carlos Oprime +3 more
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Monitoring capability study and genetic economic design of X-bar control chart
The International Journal of Advanced Manufacturing Technology, 2005Employing automatic gauges is one of the fundamental steps in advanced manufacturing system not only for assuring product quality, but also monitoring process stability. Statistical process control (SPC), therefore, is developed to detect the occurrence of assignable causes so that unnecessary quality costs can be avoided.
Yau-Ren Shiau +3 more
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Single-Subgroup Performance Measures and Diagnostic Procedures for X-Bar Control Charts
Journal of Engineering for Industry, 1994Although Shewhart control charts have had a tremendous impact on quality improvement, the inability to precisely measure chart performance has limited their role, and subsequently overall effectiveness in the control of manufacturing processes. Measures of performance in terms of operational characteristics (OC) are defined on two distinct levels: (a ...
G. E. Rahn, S. G. Kapoor, R. E. DeVor
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Journal of Quality in Maintenance Engineering, 1996
Quality control charts are statistical process control tools aimed at monitoring a (manufacturing) process to detect any deviations from normal operation and to aid in process diagnosis and correction. The information presented on the chart is a key to the successful implementation of a quality process correction system. Pattern recognition methodology
Amjed Al‐Ghanim, Jay Jordan
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Quality control charts are statistical process control tools aimed at monitoring a (manufacturing) process to detect any deviations from normal operation and to aid in process diagnosis and correction. The information presented on the chart is a key to the successful implementation of a quality process correction system. Pattern recognition methodology
Amjed Al‐Ghanim, Jay Jordan
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MINIMUM-LOSS DESIGN OF X-BAR CONTROL CHARTS FOR NON-NORMALLY CORRELATED DATA
Journal of the Chinese Institute of Industrial Engineers, 2002ABSTRACT When the [xbar] chart is applied to monitor a production process, three parameters should be determined: the sample size, the sampling interval between successive subgroups, and the control limits for the chart. In 1956, Duncan [5] presented the first cost model to determine the three parameters for the X charts, which is called the economic ...
Chao-Yu Chou +2 more
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Economic statistical design for x-bar control chart
At the present, the economic mathematical models are not widely used to find the optimal sample size and sampling frequency related to the implementation of the control chart because the models are quite complex, and difficult to evaluate and optimize. The objective of this thesis is to develop an understandable economic mathematic model that is easilyopenaire +1 more source
Ensemble ANN-based recognizers to improve classification of X-bar control chart patterns
2008 IEEE International Conference on Industrial Engineering and Engineering Management, 2008Many of the previous research on the control chart pattern recognition were related to fully developed patterns. However, in practice, the process data will appear as a continuous stream of partially developed patterns. Such developing patterns are difficult to recognize since their structure are normally vague and dynamic.
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