Search Results - subject:"Control Chart"

Fuzzy Control Chart A Better Alternative for Shewhart Average Chart

Faraz, Alireza; Moghadam, M. - In: Quality & Quantity: International Journal of Methodology 41 (2007) 3, pp. 375-385

Persistent link: https://www.econbiz.de/10009396262

The RL2 chart versus the np chart for detecting upward shifts in fraction defective

Bourke, Patrick - In: Journal of Applied Statistics 33 (2006) 1, pp. 1-15

The use of the np chart for monitoring fraction-defective is well-established, but there are a number of relatively simple alternatives based on run-lengths of conforming items. Here, the RL2 chart, based on the moving sum of two successive conforming run-lengths, is investigated in order to...

Persistent link: https://www.econbiz.de/10005278951

Economic Design of EWMA Charts with Variable Sampling Intervals

Chou, Chao-Yu; Chen, Chung-Ho; Liu, Hui-Rong - In: Quality & Quantity: International Journal of Methodology 40 (2006) 6, pp. 879-896

Persistent link: https://www.econbiz.de/10009391346

Some Group Inspection Based Multi-Attribute Control Charts to Identify Process Deterioration

Gadre, M. P.; Rattihalli, R. N. - In: Stochastics and Quality Control 20 (2005) 2, pp. 191-204

Abstract In a production process, when quality of the product depends on more than one characteristic, ‘Multivariate Quality Control’ ( MQC ) techniques are used. Many MQC techniques have been developed to control multivariate variable processes, but not much work has been reported on...

Persistent link: https://www.econbiz.de/10014590785

On Cumulative Conforming Type of Control Charts for High Quality Processes Under Sampling Inspection

Zhang, C. W.; Xie, M.; Goh, T. N. - In: Stochastics and Quality Control 20 (2005) 2, pp. 205-222

challenged. To solve the related problem, in this paper we propose a new cumulative conforming type of control chart, called CCS …

Persistent link: https://www.econbiz.de/10014590786

Statistical Performance of Control Charts

Govindaraju, K. - In: Stochastics and Quality Control 20 (2005) 1, pp. 5-20

Abstract Average run length is the most popular measure to assess the statistical performance of a control chart … improve the efficiency of the control chart signal rule is also made. …

Persistent link: https://www.econbiz.de/10014590799

Adjusted-loss-function charts with variable sample sizes and sampling intervals

Wu, Zhang; Tian, Yu; Zhang, Sheng - In: Journal of Applied Statistics 32 (2005) 3, pp. 221-242

Shewhart charts in detecting process shifts. This article presents the design and implementation of a control chart based on …

Persistent link: https://www.econbiz.de/10005492177

Acceptance control charts for non-normal data

Chou, Chao-Yu; Chen, CHung-Ho; Liu, Hui-Rong - In: Journal of Applied Statistics 32 (2005) 1, pp. 25-36

Control charts are one of the most important methods in industrial process control. The acceptance control chart is …-normal distributions, to determine the appropriate control limits or sample size for the acceptance control chart under non-normality. Some …

Persistent link: https://www.econbiz.de/10005278896

Run Length Variability and Three Sigma Control Limits

Govindaraju, K.; Lai, C. D. - In: Stochastics and Quality Control 19 (2004) 2, pp. 175-184

Abstract This article provides an argument against the use of three sigma limits for control charts. An alternative proposal to use control limits narrower than three sigma control limits is made. The main reason for narrowing the control limits is to achieve a smaller variability in the...

Persistent link: https://www.econbiz.de/10014590762

A Note on Average Run Lengths of Moving Average Control Charts

Zhang, Lingyun; Lai, C. D.; Govindaraju, K.; Bebbington, M. - In: Stochastics and Quality Control 19 (2004) 1, pp. 23-27

average control chart (MA) in Wetherill and Brown (1991) is incorrect. However, we conjecture that the formula may provide an … upper bound for the ARL of a moving average control chart. …

Persistent link: https://www.econbiz.de/10014590768