Statistical Process Control
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Most quality control and quality improvement procedures involve making assumptions about the distributional form of data it uses; usually the data is distributed. It is common place to find processes that generate data which is not normally distributed, e.g.Weibull, logistic or mixture data is increasingly encountered. This book is concerned with statisitcal process control (SPC), where SPC is to control a process in an ideal situation with respect to a particular product specification. One of the several measurement tools of SPC is control chart which monitors process and quality improvement....
Most quality control and quality improvement procedures involve making assumptions about the distributional form of data it uses; usually the data is distributed. It is common place to find processes that generate data which is not normally distributed, e.g.Weibull, logistic or mixture data is increasingly encountered. This book is concerned with statisitcal process control (SPC), where SPC is to control a process in an ideal situation with respect to a particular product specification. One of the several measurement tools of SPC is control chart which monitors process and quality improvement. The literature review indicates that there are real problems in dealing with statistical process control for non-normal distributions and mixture distributions. This book provides a quantile approach to deal with non-normal distributions, in order to construct median rankit control chart. The quantile approach will also be used to calculate a process capability index, average run length, multivariate control chart and control chart for mixture distribution for non-normal situations. This methodology can be easily adopted by the practitioner of statistical process control. Professor Kanji is Emeritus Professor of Applied Statistics at Sheffield Hallam University and is also a founder editor of two international journals, Journal of Applied Statistics and Total Quality Management. Professor Kanji, who is the Director of Kanji Quality Culture Ltd., is also Emeritus Professor of applied statistics at Sheffield Hallam University. He is also the founder editor of the two international journals namely, Journal of Applied Statistics and that of Total Quality Management. With a career spanning 38+ years in the field of statistics and quality, incorporating teaching, publishing journals and books, writing technical papers and presenting research findings around the world, Professor Kanji is an enthusiastic teacher, trainer, researcher and innovator. Having published more than 70 research papers and 15 books in Statistics and Total Quality Management, Professor Kanji is a very active fellow member of the American Society for Quality (ASQ) and a promoter of ASQ in the UK. He was appointed as Vice Chair of the International Chapter of the ASQ for Europe and the Middle East. In addition to presenting papers at other high profile international conferences he presents papers at the Annual ASQ Congress. He is a Fellow of the Institute of Statisticians and of the Royal Statistical Society, a Member of the International Statistical Institute and an Academician of the International Academy for Quality (IAQ). As a renowned teacher and consultant, his lectures have inspired audiences and individuals around the world and as Chairman of the EMPTQM group he has helped to develop a European Masters programme in Total quality management under the umbrella of EFQM. Professor Kanji has organised and chaired 8 World Congresses for Total quality Management, in the UK, Russia and Italy, Dubai and has been appointed by the European Commission to act as a technical expert for the development of the European Customer Satisfaction Index. Through his company, Kanji Quality Culture Ltd., he has introduced a Business Excellence Model to measure stakeholders' satisfaction within organisations. He has been appointed President of the European Society for Organisational Excellence (ESOE), Vice-President of the International Foundation for Customer Focus IFCF) and visiting professor at Leicester University. He has received (2002) Grant Medal from ASQ.
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