Intelligent Decision Making in Quality Management: Theory and Applications

✍ Scribed by Cengiz Kahraman, Seda Yanık (eds.)

Publisher: Springer International Publishing
Year: 2016
Tongue: English
Leaves: 474
Series: Intelligent Systems Reference Library 97
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xviii
Intelligent Decision Making Techniques in Quality Management: A Literature Review....Pages 1-22
Intelligent Process Control Using Control Charts—I: Control Charts for Variables....Pages 23-70
Intelligent Process Control Using Control Charts—II: Control Charts for Attributes....Pages 71-100
Special Control Charts Using Intelligent Techniques: EWMA Control Charts....Pages 101-125
Trends on Process Capability Indices in Fuzzy Environment....Pages 127-140
An Integrated Framework to Analyze the Performance of Process Industrial Systems Using a Fuzzy and Evolutionary Algorithm....Pages 141-177
A Fuzzy Design of Single and Double Acceptance Sampling Plans....Pages 179-211
The Role of Computational Intelligence in Experimental Design: A Literature Review....Pages 213-235
Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Production Systems....Pages 237-263
Failure Mode and Effects Analysis Under Uncertainty: A Literature Review and Tutorial....Pages 265-325
Intelligent Quality Function Deployment....Pages 327-362
Process Improvement Using Intelligent Six Sigma....Pages 363-387
Taguchi Method Using Intelligent Techniques....Pages 389-419
Software Architecture Quality of Service Analysis Based on Optimization Models....Pages 421-446
Key-Driver Analysis with Extended Back-Propagation Neural Network Based Importance-Performance Analysis (BPNN-IPA)....Pages 447-461
Back Matter....Pages 463-466

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics); Operation Research/Decision Theory

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