Overview
- Gives students opportunities to practice on examples, practice, and discussion questions
- Gives students opportunities to take a role as a decision-maker in Six Sigma process
- Teaches students to apply the tools and methods of Six Sigma in each phase of the DMAIC process using a step by step approach
- Request lecturer material: sn.pub/lecturer-material
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About this book
This textbook covers the fundamental mechanisms of the Six Sigma philosophy, while showing how this approach is used in solving problems that affect the variability and quality of processes and outcomes in business settings. Further, it teaches readers how to integrate a statistical perspective into problem solving and decision-making processes. Part I provides foundational background and introduces the Six Sigma methodology while Part II focuses on the details of DMAIC process and tools used in each phase of DMAIC. The student-centered approach based on learning objectives, solved examples, practice and discussion questions is ideal for those studying Six Sigma.
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Keywords
Table of contents (11 chapters)
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Front Matter
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Organization of Six Sigma
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Front Matter
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Back Matter
Reviews
“This textbook is excellent for students interested in learning about how Six Sigma is used for quality and process improvement. The book provides in-depth coverage of the phases of Six Sigma projects (DMAIC). Each phase is covered thoroughly to include key concepts and reinforced with illustrative examples. This textbook also provides historical context of how Six Sigma fits into the quality movement, as well as the organizational and project management context of Six Sigma.” —Jeffrey Schaller, Professor of Operations Management, Eastern Connecticut State University, USA
“This is a well-structured textbook that covers and explains a statistical based approach like Six Sigma in a simple manner that can be easily understood and followed by students and practitioners alike. It successfully bridges the gap between the theory and practice of Six Sigma and its content can be applied in variety of industrial setting such as manufacturing, healthcare and service industries. A recommended reading for those wishing to apply Six Sigma to identify the causes of failures and minimize variability in industrial processes to improve their outputs.” —Jose Arturo Garza-Reyes, Professor of Operations Management, University of Derby, UK
“This textbook provides students with a thorough understanding of the Six Sigma approach through practical examples, utilizing a statistical perspective in problem-solving and decision-making processes.” —Dan Tenney, Board of Directors, The Child and Family Guidance Center
“This book is a must-read primer, not only for students but for all readers interested in the subject. Pakdil presents a variety of real-life examples from which readers can efficiently explore how theoretical knowledge transforms into application.” —Ozlem Ogutveren Gonul, Assistant Professor of Entrepreneurship, Drexel University, USAAuthors and Affiliations
About the author
Fatma Pakdil is Professor of Management at Eastern Connecticut State University (ECSU), USA. She specializes in organization theory, service quality, quality engineering, total quality management, lean management, and Six Sigma. Dr. Pakdil was previously a professor in the Department of Industrial Engineering at Baskent University, Turkey. Dr. Pakdil was employed for 6 years as the Quality Director in a hospital where she led continuous quality improvement projects. She also worked as a Visiting Professor at Auburn University for Academy of Aerospace Quality (AAQ) Project in 2014 and 2015. Dr. Pakdil was awarded several national scholarships and grants, the most recent one being the CSU-AAUP Research Award awarded to her in 2018 while working at ECSU.
Bibliographic Information
Book Title: Six Sigma for Students
Book Subtitle: A Problem-Solving Methodology
Authors: Fatma Pakdil
DOI: https://doi.org/10.1007/978-3-030-40709-4
Publisher: Palgrave Macmillan Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-40708-7Published: 22 December 2020
eBook ISBN: 978-3-030-40709-4Published: 21 December 2020
Edition Number: 1
Number of Pages: XXVII, 492
Number of Illustrations: 161 b/w illustrations
Topics: Operations Management, Management, Operations Research/Decision Theory, Business Mathematics