Handbook of Multivariate Process Capability Indices

1. Auflage 2020
ISBN: 978-0-367-02997-5
Verlag: Chapman and Hall/CRC

Buch, Englisch, 352 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 696 g

This book provides a thorough literature review on Multivariate Process Capability Indices. It discusses the various aspects and methodologies associated with the subject in one place. Several real-life data sets have been used to show the applications of different methodologies. The proposed book contains sixteen chapters and would be beneficial for researchers, teachers and practitioners.

Autoren/Hrsg.

Chakraborty, Ashis Kumar

Chatterjee, Moutushi

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Management Qualitätsmanagement, Qualitätssicherung (QS), Total Quality Management (TQM)
• Mathematik | Informatik Mathematik Mathematik Allgemein
• Mathematik | Informatik Mathematik Stochastik
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Enzyklopädien, Nachschlagewerke, Wörterbücher

Inhaltsverzeichnis

1 Introduction

2 Some Useful Concepts of Univariate and Multivariate Statistics

3 Univariate Process Capability Indices

4 Bi-variate Process Capability Indices (BPCIs)

5 Multivariate Process Capability Indices for Bilateral Specification Region Based on Principal Component Analysis (PCA)

6 Ratio Based Multivariate Process Capability Indices for Symmetric Specification Region

7 Multivariate Process Capability Indices for Asymetric Specification Region

8 Multivariate Process Capability Indices for Unilateral Specification Region

9 Multivariate Process Capability Indices Based on Proportion of Non-conformance

10 Multivariate Process Capability Indices for Quality Characteristics Having Non-Normal Statistical Distributions

11 Multivariate Process Capability Indices Based on Bayesian Approach

12 Multivariate Process Capability Indices for Auto-correlated Data

13 Multivariate Process Capability Vectors

14 MPCIs Defined by Other Miscellaneous Approaches

15 Applications of MPCIs

Über Autor(innen)

Dr. Ashis Kumar Chakraborty has completed B.Stat(Hons.) and M.Stat in Statistics from Indian Statistical Institute, Kolkata and Ph.D from Indian Institute of Science, Bangalore, India. He has authored several books and contributed in several other books. His reserach interest is in Reliability, particularly in software reliability, process control, hybrid modelling and similar areas. More than sixty articles are published by him in well known peer-reviewed national and international journals. He has about 35 years of teaching, training and consulting experience. He is a life member of Operations Research Society of India and Indian Association for Productivity, Quality and Reliability. He served in the governing body of both. He is in the editorial Advisory Board of two journals and a regular reviewer of articles for several international journals.

Dr. Moutushi Chatterjee Received her B.Sc. (Honours) degree in Statistics from University of Calcutta, M. Sc. in Statistics from Kalyani University and M. Tech. in Quality, Reliability and Operations Research (QROR) from Indian Statistical Institute, Kolkata, India. She has also done Ph. D. in QROR from Indian Statistical Institute, Kolkata. At present she is working as an Assistant Professor of Statistics at Lady Brabourne College (affiliated to University of Calcutta). Her publications include 12 research articles in international journals and a Chapter in an edited book. Her primary research interests are multivariate statistics, statistical quality control, reliability analysis and supply chain management.