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Robust Quality Rajesh Jugulum

Robust Quality By Rajesh Jugulum

Robust Quality by Rajesh Jugulum

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Summary

This book will provide an integrated approach by combining data quality and process quality approaches for ensuring robust quality. When the two concepts are combined, industry can achieve rapid improvements with accurate results and decisions.

Robust Quality Summary

Robust Quality: Powerful Integration of Data Science and Process Engineering by Rajesh Jugulum

Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies.

Features:



  • Integrates data science, analytics and process engineering concepts


  • Discusses how to create value by considering data, analytics and processes


  • Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches


  • Reviews a structured approach for analytics execution


About Rajesh Jugulum

Rajesh Jugulum, PhD, is the Informatics Director at Cigna. Prior to joining Cigna, he held executive positions in the areas of process engineering and data science at Citi Group and Bank of America. Rajesh completed his PhD under the guidance of Dr. Genichi Taguchi. Before joining the financial industry, Rajesh was at Massachusetts Institute of Technology where he was involved in research and teaching. He currently teaches at Northeastern University in Boston. Rajesh is the author/co-author of several papers and four books including books on data quality and design for Six Sigma. Rajesh is an American Society for Quality (ASQ) Fellow and his other honors include ASQ's Feigenbaum medal and International Technology Institute's Rockwell medal. Rajesh has delivered talks as the keynote speaker at several conferences, symposiums, and events related to data analytics and process engineering. He has also delivered lectures in several universities/companies across the globe and participated as a judge in data-related competitions.

Table of Contents

Chapter 1 The Importance of Data Quality and Process Quality Chapter 2 Data Science and Process Engineering Concepts Chapter 3 Building Data and Process Strategy and Metrics Management Chapter 4 Robust Quality-An Integrated Approach for Ensuring Overall Quality Chapter 5 Robust Quality for Analytics Chapter 6 Case Studies Appendix I: Control Chart Equations and Selection Approach Appendix II: Orthogonal Arrays Appendix III: Mean Square Deviation (MSD), Signal-to-Noise Ratio (SNR), and Robust Quality Index (RQI)

Additional information

NLS9780367780975
9780367780975
0367780976
Robust Quality: Powerful Integration of Data Science and Process Engineering by Rajesh Jugulum
Rajesh Jugulum
Continuous Improvement Series
New
Paperback
Taylor & Francis Ltd
2021-03-31
124
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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