Quality Improvement Through Statistical Methods
Springer Science & Business Media, Dec 6, 2012 - Mathematics - 442 pages
This book is based on the papers presented at the International Conference 'Quality Improvement through Statistical Methods' in Cochin, India during December 28-31, 1996. The Conference was hosted by the Cochin University of Science and Technology, Cochin, India; and sponsored by the Institute for Improvement in Quality and Productivity (IIQP) at the University of Waterloo, Canada, the Statistics in Industry Committee of the International Statistical Institute (lSI) and by the Indian Statistical Institute. There has been an increased interest in Quality Improvement (QI) activities in many organizations during the last several years since the airing of the NBC television program, "If Japan can ... why can't we?" Implementation of QI meth ods requires statistical thinking and the utilization of statistical tools, thus there has been a renewed interest in statistical methods applicable to industry and technology. This revitalized enthusiasm has created worldwide discussions on Industrial Statistics Research and QI ideas at several international conferences in recent years. The purpose of this conference was to provide a forum for presenting and ex changing ideas in Statistical Methods and for enhancing the transference of such technologies to quality improvement efforts in various sectors. It also provided an opportunity for interaction between industrial practitioners and academia. It was intended that the exchange of experiences and ideas would foster new international collaborations in research and other technology transfers.
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action limit adjustment admissible effects algorithm analysis assignable causes autocorrelation bivariate Boyles chi-square considered capable control charts correlation Cp(v D-optimal design denote Department of Statistics Design of Experiments developed deviations Engineering estimated EWMA factors Figure Frisén function given Industrial Statistics input inspection interactions Journal of Quality Kalman filtering Keywords and phrases kg/hr manufacturing matrix mean square error measurement mixture normal monitoring normal distribution observations obtained optimal optimum orthogonal output parameters performance plots predicted probability problem Process capability indices process is considered process mean properties quality characteristic quality control quality improvement Quality Technology random walk response variable robust sampling interval Section Shewhart shifts smoother SO2 gpl specification limit SQCRAG Srivastava statistical process control statistical thinking statisticians symmetric Table Taguchi methods target value Technometrics TSAFC University of Manitoba Vännman variance variation workshops