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Titlebook: Quality Improvement Through Statistical Methods; Bovas Abraham Book 1998 Birkh?user Boston 1998 Applied Statistics.Quality Control Enginee

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發(fā)表于 2025-3-21 18:57:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Quality Improvement Through Statistical Methods
編輯Bovas Abraham
視頻videohttp://file.papertrans.cn/781/780269/780269.mp4
叢書名稱Statistics for Industry and Technology
圖書封面Titlebook: Quality Improvement Through Statistical Methods;  Bovas Abraham Book 1998 Birkh?user Boston 1998 Applied Statistics.Quality Control Enginee
描述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 Metho
出版日期Book 1998
關(guān)鍵詞Applied Statistics; Quality Control Engineering; approximation; control engineering; function; optimizati
版次1
doihttps://doi.org/10.1007/978-1-4612-1776-3
isbn_softcover978-1-4612-7277-9
isbn_ebook978-1-4612-1776-3Series ISSN 2364-6241 Series E-ISSN 2364-625X
issn_series 2364-6241
copyrightBirkh?user Boston 1998
The information of publication is updating

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Industrial Statistics and Innovation is indicated; there has recently been a strong backlash against the Quality movement, often because Quality concepts have been misunderstood and misapplied. For example, the measurement component of major Quality awards is usually the worst handled. Deep mastery of variation has failed to take root
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The Role of Academic Statisticians in Quality Improvement Strategies of Small and Medium Sized CompaUniversity of Manitoba and small to medium sized companies. The size of the local community and the limited resources available to many of these small companies mean that few knowledgeable commercial consultants are readily available. As a result, these companies have turned to the statisticians at
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Developing Optimal Regulation and Monitoring Strategies to Control a Continuous Petrochemical Proceshe Algorithmic Statistical Process Control (ASPC) methodology. The Single-Input/Single-Output (SISO) case is discussed, using the polymer viscosity as controlled variable (output), and reactor temperature as manipulated variable (input). Alternative regulation strategies are considered. Robustness p
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