Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers

Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers
Author: Wei Zhan
Publisher: Momentum Press
Total Pages: 247
Release: 2015-11-16
Genre: Technology & Engineering
ISBN: 1606504932
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The book focuses on the introduction of the basic concepts, processes, and tools used in Lean Six Sigma. A unique feature is the detailed discussion on Design for Six Sigma aided by computer modeling and simulation. The authors present several sample projects in which Lean Six Sigma and Design for Six Sigma were used to solve engineering problems or improve processes based on their own research and development experiences in engineering design and analysis. This book is intended to be a textbook for advanced undergraduate students, graduate students in engineering, and mid-career engineering professionals. It can also be a reference book, or be used to prepare for the Six Sigma Green Belt and Black Belt certifications by organizations such as American Society for Quality.

Essentials of Lean Six Sigma

Essentials of Lean Six Sigma
Author: Salman Taghizadegan
Publisher: Elsevier
Total Pages: 294
Release: 2010-07-26
Genre: Business & Economics
ISBN: 0080462324
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Six Sigma is a management program that provides tools that help manufacturers obtain efficient, stream-lined production to coincide with ultimate high quality products. Essentials of Lean Six Sigma will show how the well-regarded analytical tools of Six Sigma quality control can be successfully brought into the well-established models of “lean manufacturing, bringing efficient, stream-lined production and high quality product readily together. This book offers a thorough, yet concise introduction to the essential mathematics of Six Sigma, with solid case examples from a variety of industrial settings, culminating in an extended case study. Various professionals will find this book immensely useful, whether it be the industrial engineer, the industrial manager, or anyone associated with engineering in a technical or managing role. It will bring about a clear understanding of not only how to implement Six Sigma statistical tools, but also how to do so within the bounds of Lean manufacturing scheme. It will show how Lean Six Sigma can help reinforce the notion of “less is more, while at the same time preserving minimal error rates in final manufactured products. Reviews the essential statistical tools upon which Six Sigma rests, including normal distribution and mean deviation and the derivation of 1 sigma through six sigma Explains essential lean tools like Value-Stream Mapping and quality improvement tools like Kaizen techniques within the context of Lean Six Sigma practice Extended case study to clearly demonstrate how Six Sigma and Lean principles have been actually implemented, reducing production times and costs and creating improved product quality

Lean Six Sigma for Engineers and Managers

Lean Six Sigma for Engineers and Managers
Author: Matthew John Franchetti
Publisher: CRC Press
Total Pages: 274
Release: 2015-03-16
Genre: Business & Economics
ISBN: 1482243539
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This book introduces Lean Six Sigma (LSS) to engineers and managers interested in implementing LSS at their organizations. The book provides a detailed roadmap and industry examples to aid readers in understanding and implementing the LSS system. This book discusses the LSS process to define improvement needs, measure current business performance, analyze performance results using statistical tools, improve business and financial results, and control peak business performance.

Introduction to Engineering Statistics and Lean Six Sigma

Introduction to Engineering Statistics and Lean Six Sigma
Author: Theodore T. Allen
Publisher:
Total Pages: 629
Release: 2019
Genre: Engineering
ISBN: 9781447174219
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This book provides an accessible one-volume introduction to Lean Six Sigma and statistics in engineering for students and industry practitioners. Lean production has long been regarded as critical to business success in many industries. Over the last ten years, instruction in Six Sigma has been linked more and more with learning about the elements of lean production. Building on the success of the first and second editions, this book expands substantially on major topics of increasing relevance to organizations interested in Lean Six Sigma. Each chapter includes summaries and review examples plus problems with their solutions. As well as providing detailed definitions and case studies of all Six Sigma methods, the book uniquely describes the relationship between operations research techniques and Lean Six Sigma. Further, this new edition features more introductory material on probability and inference and information about Deming's philosophy, human factors engineering, and the motivating potential score – the material is tied more directly to the Certified Quality Engineer (CQE) exam. New sections that explore motivation and change management, which are critical subjects for achieving valuable results have also been added. The book examines in detail Design For Six Sigma (DFSS), which is critical for many organizations seeking to deliver desirable products. It covers reliability, maintenance, and product safety, to fully span the CQE body of knowledge. It also incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on experiment design, and includes practical experiments that will help improve students’ intuition and retention. The emphasis on lean production, combined with recent methods relating to DFSS, makes this book a practical, up-to-date resource for advanced students, educators and practitioners.

Introduction to Engineering Statistics and Lean Sigma

Introduction to Engineering Statistics and Lean Sigma
Author: Theodore T. Allen
Publisher: Springer Science & Business Media
Total Pages: 573
Release: 2010-04-23
Genre: Technology & Engineering
ISBN: 1849960003
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Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.

Six Sigma for Technical Processes

Six Sigma for Technical Processes
Author: Clyde M. Creveling
Publisher: Pearson Education
Total Pages: 423
Release: 2002-10-22
Genre: Business & Economics
ISBN: 0132712881
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Use Six Sigma to achieve and sustain excellence in product development and commercialization! To sustain growth and profitability, companies must tightly align product development and commercialization to fast-changing customer requirements. In this book, Clyde Creveling identifies the four process areas most crucial to doing so–and shows executives and managers how to optimize each of them. Creveling introduces a Six Sigma-enabled workflow that encompasses strategic product/technology portfolio definition and development, research and technology development (R&TD), tactical design engineering processes for commercialization, and operational production and service support. He presents tools, methods, and best practices for selecting the right projects, prioritizing them, and executing them rapidly, consistently, and successfully. Integrate all key technical processes so they work together in harmony Create Phase/Gate control plans for delivering products with minimal risk Establish scorecards for risk management in technical processes Use Six Sigma tools, such as Monte Carlo and FMEA, to improve project management Bring discipline to your product and technology portfolio renewal processes Systematically optimize your commercialization processes Define stripped-down “Fast Track” processes for commercializing high-risk, high-reward opportunities Provide effective operational support after you launch your product Preview the future of “lean” and Six Sigma in technical processes Use lean techniques to streamline repeatable processes such as R&D, product design, and post-launch production engineering support Learn how to manage the risk of doing a fast track commercialization project when you really must cut corners to get a product out into the market before your opportunity evaporates Foreword by John Boselli xiii Preface xv About the Author xxi Chapter 1: Introduction to Six Sigma for Technical Processes 1 Chapter 2: Scorecards for Risk Management in Technical Processes 21 Chapter 3: Project Management in Technical Processes 35 Chapter 4: Strategic Product and Technology Portfolio Renewal Process 51 Chapter 5: Strategic Research and Technology Development Process 95 Chapter 6: Tactical Product Commercialization Process 163 Chapter 7: Fast Track Commercialization 275 Chapter 8: Operational Post-Launch Engineering Support Processes 293 Chapter 9: Future Trends in Six Sigma and Technical Processes 317 Glossary 323 Index 351

Innovation Management and New Product Development for Engineers, Volume I

Innovation Management and New Product Development for Engineers, Volume I
Author: Rob Dekkers
Publisher: Momentum Press
Total Pages: 217
Release: 2018-08-31
Genre: Technology & Engineering
ISBN: 1946646857
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Whereas innovation has become part of daily language, in practice, realizing new product and new service development is a complex and daunting task for engineers, design engineering managers, managers, and those involved in other functions in organizations. Most books on innovation management approach this topic from a managerial or economic perspective; this text takes the actual design and engineering processes as starting point. To this purpose, it relates product design and engineering processes and their management to sources of innovation, collaboration with suppliers, and knowledge providers (for example, inventors and universities), and users. The managerial aspects get ample attention as well as the socioeconomic aspects in the context of product design and engineering. For this wide range of topics, the book provides both theoretical underpinning and practical guidance. Readers and students will benefit from this book by not only understanding the key mechanisms for innovation but also by the practical guidance it offers. The author uses diagrams, models, methods, and steps to guide readers to a better understanding of innovation projects. This practical approach and the link to theory make the book valuable to practitioners as well as engineering students.

Innovation Management and New Product Development for Engineers, Volume II

Innovation Management and New Product Development for Engineers, Volume II
Author: Rob Dekkers
Publisher: Momentum Press
Total Pages: 216
Release: 2018-08-31
Genre: Technology & Engineering
ISBN: 1947083937
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Whereas innovation has become part of daily language, in practice, realizing new product and new service development is a complex and daunting task for engineers, design engineering managers, managers, and those involved in other functions in organizations. Most books on innovation management approach this topic from a managerial or economic perspective; this text takes the actual design and engineering processes as starting point. To this purpose, it relates product design and engineering processes and their management to sources of innovation, collaboration with suppliers, and knowledge providers (for example, inventors and universities), and users. The managerial aspects get ample attention as well as the socioeconomic aspects in the context of product design and engineering. For this wide range of topics, the book provides both theoretical underpinning and practical guidance. Readers and students will benefit from this book by not only understanding the key mechanisms for innovation but also by the practical guidance it offers. The author uses diagrams, models, methods, and steps to guide readers to a better understanding of innovation projects. This practical approach and the link to theory make the book valuable to practitioners as well as engineering students.

Analytics and Tech Mining for Engineering Managers

Analytics and Tech Mining for Engineering Managers
Author: Scott W. Cunningham
Publisher: Momentum Press
Total Pages: 129
Release: 2016-06-20
Genre: Technology & Engineering
ISBN: 1606505114
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This book offers practical tools in Python to students of innovation, as well as competitive intelligence professionals, to track new developments in science, technology, and innovation. The book will appeal to both—tech-mining and data science audiences. For tech-mining audiences, Python presents an appealing, all-in-one language for managing the tech-mining process. The book is a complement to other introductory books on the Python language, providing recipes with which a practitioner can grow a practice of mining text. For data science audiences, this book gives a succinct overview over the most useful techniques of text mining. The book also provides relevant domain knowledge from engineering management; so, an appropriate context for analysis can be created. This is the first book of a two-book series. This first book discusses the mining of text, while the second one describes the analysis of text. This book describes how to extract actionable intelligence from a variety of sources including scientific articles, patents, pdfs, and web pages. There is a variety of tools available within Python for mining text. In particular, we discuss the use of pandas, BeautifulSoup, and pdfminer.

Six Sigma with R

Six Sigma with R
Author: Emilio L. Cano
Publisher: Springer Science & Business Media
Total Pages: 296
Release: 2012-07-04
Genre: Mathematics
ISBN: 1461436524
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Six Sigma has arisen in the last two decades as a breakthrough Quality Management Methodology. With Six Sigma, we are solving problems and improving processes using as a basis one of the most powerful tools of human development: the scientific method. For the analysis of data, Six Sigma requires the use of statistical software, being R an Open Source option that fulfills this requirement. R is a software system that includes a programming language widely used in academic and research departments. Nowadays, it is becoming a real alternative within corporate environments. The aim of this book is to show how R can be used as the software tool in the development of Six Sigma projects. The book includes a gentle introduction to Six Sigma and a variety of examples showing how to use R within real situations. It has been conceived as a self contained piece. Therefore, it is addressed not only to Six Sigma practitioners, but also to professionals trying to initiate themselves in this management methodology. The book may be used as a text book as well.