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Intelligent decision making in quality management[electronic resource] :theory and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	658.403
書名/作者:	Intelligent decision making in quality management : theory and applications // edited by Cengiz Kahraman, Seda Yanık.
其他作者:	Kahraman, Cengiz.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xviii, 466 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Decision making.
標題:	Total quality management.
標題:	Quality control.
標題:	Artificial intelligence.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Operation Research/Decision Theory.
ISBN:	9783319244990
ISBN:	9783319244976
內容註:	Intelligent Decision Making Techniques in Quality Management: A Literature Review -- Intelligent Process Control Using Control Charts - I: Control Charts for Variables -- Intelligent Process Control Using Control Charts - II: Control Charts for Attributes -- Special Control Charts Using Intelligent Techniques: EWMA Control Charts -- Trends on Process Capability Indices in Fuzzy Environment -- An Integrated Framework to analyze the Performance of Process Industrial Systems Using a Fuzzy and Evolutionary Algorithm -- A Fuzzy Design of Single and Double Acceptance Sampling Plans -- Intelligent Decision Making Techniques in Quality Management: A Literature Review -- Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Production Systems -- Failure Mode and Effects Analysis under Uncertainty: A Literature Review and Tutorial -- QFD using Intelligent Techniques -- Process Improvement Using Intelligent Six Sigma -- Taguchi Method Using Intelligent Techniques -- Software Architecture Quality of Service Analysis Based on Optimization Models -- Key-Driver Analysis with Extended Back-Propagation Neural Network Based Importance-Performance Analysis (BPNN-IPA)
摘要、提要註:	This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.
電子資源:	http://dx.doi.org/10.1007/978-3-319-24499-0

Intelligent decision making in quality management[electronic resource] :theory and applications /
Intelligent decision making in quality managementtheory and applications /[electronic resource] :edited by Cengiz Kahraman, Seda Yanık. - Cham :Springer International Publishing :2016. - xviii, 466 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.971868-4394 ;. - Intelligent systems reference library ;v.24..

Intelligent Decision Making Techniques in Quality Management: A Literature Review -- Intelligent Process Control Using Control Charts - I: Control Charts for Variables -- Intelligent Process Control Using Control Charts - II: Control Charts for Attributes -- Special Control Charts Using Intelligent Techniques: EWMA Control Charts -- Trends on Process Capability Indices in Fuzzy Environment -- An Integrated Framework to analyze the Performance of Process Industrial Systems Using a Fuzzy and Evolutionary Algorithm -- A Fuzzy Design of Single and Double Acceptance Sampling Plans -- Intelligent Decision Making Techniques in Quality Management: A Literature Review -- Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Production Systems -- Failure Mode and Effects Analysis under Uncertainty: A Literature Review and Tutorial -- QFD using Intelligent Techniques -- Process Improvement Using Intelligent Six Sigma -- Taguchi Method Using Intelligent Techniques -- Software Architecture Quality of Service Analysis Based on Optimization Models -- Key-Driver Analysis with Extended Back-Propagation Neural Network Based Importance-Performance Analysis (BPNN-IPA)

This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.

ISBN: 9783319244990

Standard No.: 10.1007/978-3-319-24499-0doiSubjects--Topical Terms:

337308
Decision making.

LC Class. No.: HD30.23

Dewey Class. No.: 658.403

Intelligent decision making in quality management[electronic resource] :theory and applications /
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