The application of Preventive Maintenance (PM) and Statistical Process Control (SPC) are important practices to achieve high product quality, small frequency of failures, and cost reduction in a production process. However there are some points that have not been explored in depth about its joint application. First, most SPC is performed with the X-bar control chart which does not fully conside...

The basis for traditional “statistical inference” is the assumption of statistical stability. However, observations indicate that this assumption is often incorrect and has significant limitations for the study of skin and hair systems. This paper focuses on the use of analytic statistical analysis versus enumerative statistical analysis for evaluating data from experiments and product studies....

This paper develops a new multivariate statistical process control (SPC) methodology based on adapting the LASSO variable selection method to the SPC problem. The LASSO method has the sparsity property that it can select exactly the set of nonzero regression coefficients in multivariate regression modeling, which is especially useful in cases when the number of nonzero coefficients is small. In...

The escalating demands on the development of software products require software organizations to produce mature software processes that are capable of providing the required levels of quality and productivity. The implementation of statistical process control (SPC) in performance process analysis uses data collected during the course of the project to analyze the behavior of organization proces...

INTEGRATION OF DATA MJNING ALGORITHMS AND CONTROL' CBARI'S FOR MULTIVARIATE AND AUTOCORRELATED PROCESSES WEERAWAT JITPITAKLERT, Ph.D. ,The University of Texas at Arlington, 2009 Supervising Professor: Seoung Bum Kim The objective of tllli3 dissertation is to integrate state-of-the-art data mining 3lgoritbms with statistical process control (SPC) tools to a.chieve efficient 'monitoring in multiv...

The paper focuses on the development of a classification strategy to identify critic situation in batch process control. Data acquired from a batch execution is reduced by means of multiway principal component analysis in order to be assessed according to the statistical model of the process. Multiple situations have been categorized by a classification algorithm applied to the principal compon...

This paper studies a series production system through the integration of the decisions associated with Maintenance Management (MM) and Statistical Process Control (SPC). Hence, the primary question of the paper can be stated as follows: In a series production system, how can the decisions of MM and SPC be coordinated? To this end, an integrated mathematical model of MM and SPC is developed. Usi...

OBJECTIVE To investigate and illustrate the use of statistical process control (SPC) for prospective monitoring and detection of regional changes in prescription opioid abuse rates. METHODS A demonstration project was conducted by applying several types of SPC charts to Louisiana TANF (Temporary Assistance for Needy Families) applicant self-reported opioid illicit use data collected during 21...