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9 articles for “Statistical Control Chart”
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Research ArticleOpen accessPhrase in the titleIndustrial Robot Fault Detection Based on Statistical Control ChartAlaa Abdulhady Jaber, Robert BickerIndustrial robots have long been used in production systems in order to improve productivity, quality and safety in automated manufacturing processes. There are significant implications for operator safety in the event of a robot malfunction or failure and an unforeseen robot stoppage due to different reasons has the potential to cause an interruption in the entire production line, resulting in … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 29 Feb 2016 · 8,573 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimal Pareto Solutions of a Dynamic C Chart: An Application of Statistical Process Control on a Semiconductor Devices Manufacturing ProcessToni Lupo, Filippo SgroiThe present paper proposes a novel economic-statistical design procedure of a dynamic c control chart for the Statistical Process Control (SPC) of the manufacturing process of semiconductor devices. Particularly, a non-linear constrained mathematical programming model is formulated and solved by means of the ϵ-constraint method. A numerical application is developed in order to describe the Pareto frontier, that is the … …American Journal of Applied Sciences, Vol. 12, Issue 4 · 28 May 2015 · 6,473 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Study on the Effects of Non-Normality on the Performances of Max-DEWMA Versus SS-DEWMA ChartsTeh Sin Yin, Michael Khoo Boon ChongProblem statement: The called the Sum of Squares Double Exponentially Weighted Moving Average (SS-DEWMA) chart which is effective in detecting shifts in the mean and/or variance is compared with the Max-DEWMA (called the maximum double exponentially weighted moving average) chart. The comparison is based on the assumption that the distribution of the quality characteristic of the process is normal or … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 18 Jan 2012 · 7,188 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMODEL BUILDING FOR AUTOCORRELATED PROCESS CONTROL: AN INDUSTRIAL EXPERIENCEM. A. Djauhari, S. L. Lee, Z. IsmailWe show that many time series data are governed by Geometric Brownian Motion (GBM) law. This motivates us to propose a procedure of time series model building for autocorrelated process control that might consist of two steps. First, we test whether the process data are governed by GBM law. If it is affirmative, the appropriate model is directly given by … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 29 Mar 2014 · 6,624 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDerivation of the Limits for Control Chart Using the Median Absolute Deviation for Monitoring Non-Normal ProcessK. S. Adekeye, P. I. AzubuikeProblem statement: The Shewhart and S control charts, in the literature, were combined to evaluate the stability of a process. These charts were based on the fundamental assumption of normality of the quality characteristics under investigation. Approach: In practice, the normality assumption was often violated by real life data, therefore, use of the Shewhart and S control charts on real … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 24 Dec 2011 · 8,435 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeighted Centroid Modified Simplex and Linear Constrained Response Surface Optimization Methods for the Xbar-R Chart Variable DeterminationPongchanun LuangpaiboonProblem statement: Although economic Xbar-R chart designs do guarantee the minimal operating cost, they typically have poor levels of statistical performance measures. The obvious limitation of the economic design is that the Type I error rate seems to be very high for many situations and will cause a large number of false alarms. This situation leads to an investigation of … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 7,115 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Simple Robust Control Chart Based on MADMoustafa Omar Ahmed Abu-ShawieshControl charts are one of the most powerful tools used to detect aberrant behavior in industrial processes. The Shewhart S-control chart is one of the most widely used statistical process control techniques developed to control the process variability based on the fundamental assumption that the underlying distribution of the quality characteristic is normal. When the underlying normality assumption is not … …Journal of Mathematics and Statistics, Vol. 4, Issue 2 · 30 Jun 2008 · 14,254 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstruction of Control Charts Using Fuzzy Multinomial QualityV. Amirzadeh, M. Mashinchi, M.A. YaghoobiControl charts are the simplest type of on-line statistical process control techniques. One of the basic control charts is P-chart. In classical P-charts, each item classifies as either "nonconforming" or "conforming" to the specification with respect to the quality characteristic. In practice, one may classify each item in more than two categories such as "bad", "medium", "good", and "excellent". Based … …Journal of Mathematics and Statistics, Vol. 4, Issue 1 · 31 Mar 2008 · 7,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Quality and IndicatorsJorge Matute, A.P. GuptaThis study highlights the importance of collecting good quality data from multidisciplinary studies. Bias in data may be the result of instrument inaccuracies, imprecise data recording techniques, inaccurate data entry to computers or inappropriate statistical analysis and presentation. Recommendations for good data quality control are given. Different types of data are discussed: raw data, simple indicators and complex indicators. It … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 1 · 31 Mar 2007 · 7,857 accessesView PDFCite