Statistical and Managerial Techniques for Six Sigma Methodology E-Book

Stefano Barone

• Herausgeber: John Wiley & Sons
• Kategorie: Wissenschaft und neue Technologien
• Sprache: Englisch

Seitenzahl: 505

Veröffentlichungsjahr: 2012

Beschreibung

Six Sigma methodology is a business management strategy which seeks to improve the quality of process output by identifying and removing the causes of errors and minimizing variability in manufacturing and business processes. This book examines the Six Sigma methodology through illustrating the most widespread tools and techniques involved in Six Sigma application. Both managerial and statistical aspects are analysed allowing the reader to apply these tools in the field. Furthermore, the book offers insight on variation and risk management and focuses on the structure and organizational aspects of Six Sigma projects. Key features: * Presents both statistical and managerial aspects of Six Sigma, covering both basic and more advanced statistical techniques. * Provides clear examples and case studies to illustrate the concepts and methodologies used in Six Sigma. * Written by experienced authors in the field. This textbook is ideal for graduates studying Six Sigma for Black Belt and Green Belt qualifications as well as for engineering and quality management courses. Business consultants and consultancy firms implementing Six Sigma will also benefit from this book.

Leseprobe

Table of Contents

Title Page

Copyright

Dedication

Preface

About the Authors

Chapter 1: Six Sigma Methodology

1.1 Management by Process

1.2 Meanings and Origins of Six Sigma

1.3 Six Sigma Projects

1.4 The DMARIC Path

References

Chapter 2: Basic Managerial Techniques

2.1 For Brainstorming

2.2 To Manage the Project

2.3 To Describe and Understand the Processes

2.4 To direct the Improvement

References

Chapter 3: Basic Statistical Techniques

3.1 To Explore Data

3.2 To Define and Calculate the Uncertainty

3.3 To Model the Random Variability

3.4 To Draw Conclusions from Observed Data

References

Chapter 4: Advanced Managerial Techniques

4.1 To Describe Processes

4.2 To Manage a Project

4.3 To Analyse Faults

4.4 To Make Decisions

References

Chapter 5: Advanced Statistical Techniques

5.1 To Study the Relationships Between Variables

5.2 To Monitor and Keep Processes Under Control

5.3 To Improve Products, Services and Production Processes

5.4 To Assess the Measurement System

References

Chapter 6: Six Sigma Methodology in Action: Selected Black Belt Projects in Swedish Organisations

6.1 Resource Planning Improvement at SAAB Microwave Systems

6.2 Improving Capacity Planning of Available Beds: A Case Study for the Medical Wards at Sahlgrenska and Östra Hospitals

6.3 Controlling Variation in Play in Mast Production Process at ATLET

6.4 Optimising the Recognition and Treatment of Unexpectedly Worsening In-Patients at Kärnsjiukhuset, Skaraborg Hospital

6.5 Optimal Scheduling for Higher Efficiency and Minimal Losses in Warehouse at Structo Hydraulics AB

6.6 Reducing Welding Defect Rate for a Critical Component of an Aircraft Engine

6.7 Attacking a Problem of Low Capability in Final Machining for an Aircraft Engine Component at VAC—Volvo Aero Corporation

Index

This edition first published 2012

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Library of Congress Cataloging-in-Publication Data

Barone, Stefano.

Statistical and managerial techniques for six sigma methodology : theory and application / Stefano Barone and Eva Lo Franco.

p. cm.

Includes bibliographical references and index.

ISBN 978-0-470-71183-5 (cloth)

1. Total quality management. 2. Quality control—Management. 3. Six sigma (Quality control standard) I. Franco, Eva Lo. II. Title.

HD62.15.B367 2012

658.4 013—dc23

2011039805

A catalogue record for this book is available from the British Library.

ISBN: 978-0-470-71183-5

To our families.

To Palermo, Napoli and Göteborg.

Preface

The Six Sigma methodology is characterised by the concurrent and integrated use of managerial and statistical techniques. This special feature makes the methodology not always understandable or easily applicable. In this book we present the methodology through the illustration of the most widespread techniques and tools involved in its application.

When we decided to write the book, our first intention was to produce a reference textbook for a Six Sigma Black Belt university course, and in general a textbook that would be useful for university courses and specialist training on Six Sigma, Quality Management, Quality Control, Quality and Reliability Engineering, Risk Analysis and Business Management. Today, with the book finished, we can say that it is also addressed to business and engineering consultants, quality managers and managers of public and private organisations.

Our certainty that both managerial and statistical aspects of Six Sigma are fundamental for successful projects has permeated all parts of the book. Both aspects are equally considered, and enough room is given to preliminary notions to allow the reader acquiring the ability to apply the techniques and tools in real life.

The book aims to share the knowledge and the use of the Six Sigma methodology with everybody wishing to study its contents and having a basic knowledge of mathematics (at least secondary school level).

The structure of the book is essentially based on the main distinction between managerial and statistical techniques, and between basic and advanced ones. It gives special emphasis to variation and risk management, and to the structure and the organisational aspects of Six Sigma projects.

A clear and rigorous language characterises the book. The approach is basically pragmatic; in fact the topics are discussed with the support of many examples and case studies. To simplify the writing, we will use ‘he’ instead of ‘he/she’ when referring to a generic person. We note that we have met a lot of Six Sigma enthusiasts of both genders.

The book is based on a wide international scientific research and on the academic experience of the authors, both in research and in teaching. Furthermore, we relied on our current jobs as statisticians, and also on our backgrounds in engineering and economics, respectively.

The book is made up of six chapters.

Chapter 1 ‘Six Sigma Methodology’ is divided into three sections: Management by process; Meanings and origins of Six Sigma; Six Sigma frameworks. This is essentially a conceptual chapter.

Chapter 2 to Chapter 5 illustrate the techniques. Their sections are titled according to the main scope of the techniques being presented.

Chapter 2 ‘Basic Managerial Techniques’ has four sections: For brainstorming; To manage the project; To describe and understand the processes; To direct the improvement.

Chapter 3 ‘Basic Statistical Techniques’ is divided into the following sections: To explore data; To define and calculate the uncertainty; To model the random variability; To draw conclusions from observed data.

Chapter 4 ‘Advanced Managerial Techniques’ is divided into four sections: To describe processes; To manage a project; To analyse faults; To make decisions.

Chapter 5 ‘Advanced Statistical Techniques’ is divided into four sections: To study the relationships between variables; To monitor and keep processes under control; To improve products, services and production processes; To assess the measurement system.

Essential bibliographic references conclude every chapter. We have intentionally referred only to the most authoritative books and articles relevant to the topics dealt with in each chapter.

Finally, Chapter 6 ‘Six Sigma methodology in action: Selected Black Belt projects in Swedish organisations’ contains the reports of seven projects carried out within the last three editions of the Six Sigma Black Belt course held by one of the authors at the Chalmers University of Technology in Göteborg (Sweden) in the period 2009–2011.

This book, to which we have equally contributed, is the result of years of study and work, but also it is the result of precious collaborations with many key persons: our students, our colleagues, our teachers. We would like to thank all of them, but we prefer mentioning just one as a representative, Professor Bo Bergman, to whom we both feel profoundly linked by a sense of deep professional esteem and human friendship.

Stefano Barone and Eva Lo Franco

About the Authors

Stefano Barone received his PhD in Applied Statistics in 2000 from the University of Naples (Italy). After having worked for two years as a post doc researcher at ELASIS (FIAT Research Centre), at University of Naples and then at Chalmers University of Technology, he became Assistant Professor of Statistics at the University of Palermo, Faculty of Engineering. In 2005–2006 he served as council member and vice president of ENBIS, the European Network for Business and Industrial Statistics of which he was one of the founders. In 2008 he was awarded a Fulbright visiting research grant and worked at the Georgia Institute of Technology (Atlanta, USA). For the past three years he was Associate Professor (Docent) of Industrial Statistics at Chalmers University of Technology where he was responsible for the Six Sigma Black Belt education at Master level.

Eva Lo Franco actively collaborates to the chair of Statistical Quality Control at the University of Palermo (Italy) since 2003. She got her PhD in Economic Statistics in 2005. In 2006–2009 she was research fellow dealing with “education on quality and quality of education” especially at University. She had experience with the implementation of quality management systems and models both in public administration and SMEs. She is a senior assessor for the Italian Quality Award. She currently teaches Statistical Quality Control for the School of Economics and Basic Statistics for the bachelor program in Managerial Engineering.