Author: Warren Brussee
Publisher: McGraw Hill Professional
ISBN: 0071734821
Category : Business & Economics
Languages : en
Pages : 13
Book Description
This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.
Statistics for Six Sigma Made Easy, Chapter 16 - Simplified Control Charts
Author: Warren Brussee
Publisher: McGraw Hill Professional
ISBN: 0071734821
Category : Business & Economics
Languages : en
Pages : 13
Book Description
This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.
Publisher: McGraw Hill Professional
ISBN: 0071734821
Category : Business & Economics
Languages : en
Pages : 13
Book Description
This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.
Introduction to Statistical Quality Control
Author: Douglas C. Montgomery
Publisher: Wiley Global Education
ISBN: 1119399297
Category : Technology & Engineering
Languages : en
Pages : 771
Book Description
Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines. Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences. A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, and incorporation of Minitab statistics software, provides students with a solid base of conceptual and practical knowledge.
Publisher: Wiley Global Education
ISBN: 1119399297
Category : Technology & Engineering
Languages : en
Pages : 771
Book Description
Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines. Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences. A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, and incorporation of Minitab statistics software, provides students with a solid base of conceptual and practical knowledge.
Implementing Six Sigma
Author: Forrest W. Breyfogle, III
Publisher: John Wiley & Sons
ISBN: 0471265721
Category : Technology & Engineering
Languages : en
Pages : 1235
Book Description
Das bewährte Handbuch zum Statistiktool Six Sigma - jetzt in neuer, aktualisierter Auflage! - besprochen werden täglich benötigte Verfahren und deren Implementation - erweiterte Behandlung u.a. des Benchmarkings - mit vielen praxisnahen Übungen - enthält Pläne, Checklisten und Übersichten häufig auftretender Fehler
Publisher: John Wiley & Sons
ISBN: 0471265721
Category : Technology & Engineering
Languages : en
Pages : 1235
Book Description
Das bewährte Handbuch zum Statistiktool Six Sigma - jetzt in neuer, aktualisierter Auflage! - besprochen werden täglich benötigte Verfahren und deren Implementation - erweiterte Behandlung u.a. des Benchmarkings - mit vielen praxisnahen Übungen - enthält Pläne, Checklisten und Übersichten häufig auftretender Fehler
Product Innovation
Author: David L. Rainey
Publisher: Cambridge University Press
ISBN: 1139444433
Category : Business & Economics
Languages : en
Pages : 641
Book Description
Increasing pressures to produce new products faster and cheaper are resulting in huge efforts to streamline and restructure the traditional new product development (NPD) process. The purpose of the book is to describe, assess and apply the latest constructs, methods, techniques and processes to enable managers, professionals, and practitioners to be more effective in designing, developing and commercializing new products and services. It provides guidance and support in formulating and executing NPD programs for business practitioners and MBA students. The book is written from an Integrated Product Development (IPD) perspective, linking all aspects of marketing, costing and manufacturing into the development process even before the first prototype is built. It covers the advanced tools necessary to achieve this such as virtual prototyping and fully integrated business systems, and explains the changes needed to organizational structure and thinking.
Publisher: Cambridge University Press
ISBN: 1139444433
Category : Business & Economics
Languages : en
Pages : 641
Book Description
Increasing pressures to produce new products faster and cheaper are resulting in huge efforts to streamline and restructure the traditional new product development (NPD) process. The purpose of the book is to describe, assess and apply the latest constructs, methods, techniques and processes to enable managers, professionals, and practitioners to be more effective in designing, developing and commercializing new products and services. It provides guidance and support in formulating and executing NPD programs for business practitioners and MBA students. The book is written from an Integrated Product Development (IPD) perspective, linking all aspects of marketing, costing and manufacturing into the development process even before the first prototype is built. It covers the advanced tools necessary to achieve this such as virtual prototyping and fully integrated business systems, and explains the changes needed to organizational structure and thinking.
Statistical Methods for Quality Assurance
Author: Stephen B. Vardeman
Publisher: Springer
ISBN: 038779106X
Category : Mathematics
Languages : en
Pages : 447
Book Description
This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings
Publisher: Springer
ISBN: 038779106X
Category : Mathematics
Languages : en
Pages : 447
Book Description
This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings
Six Sigma on a Budget: Achieving More with Less Using the Principles of Six Sigma
Author: Warren Brussee
Publisher: Mcgraw-hill
ISBN: 9780071736756
Category : Business & Economics
Languages : en
Pages : 192
Book Description
All the value of six sigma--Immediate results now available without the overhead! In today's economy, organizations need to improve quality, solve problems, and increase efficiencies on the fly—and Six Sigma has proven its worth to large and small companies around the world in all these areas. Written by a leading Six Sigma expert, Warren Brussee, Six Sigma on a Budget explains how you can use the principles of Six Sigma to see immediate results--all without expensive consultants or disruptive classes. Exclusive features of Six Sigma on a Budget: Written in plain English, it delivers huge benefits to anyone who's learned high school math and Microsoft Excel Can be implemented by managers or individuals without additional staff—in virtually any type of business Teaches all Six Sigma and Lean Six Sigma skills to give you knowledge equivalent to a traditionally trained Six Sigma green belt Includes case studies, formulas, glossary, quick tips, and other at-a-glance aids From the basics to more advanced strategies, the invaluable skills in Six Sigma on a Budget help you get great results with a limited investment of time and money. Warren Brussee was an engineer and plant manager at General Electric for 33 years. He is the holder of multiple patents for his Six Sigma work and is the author of numerous Six Sigma books, including Statistics for Six Sigma Made Easy and All About Six Sigma. He lives in Columbia, SC.
Publisher: Mcgraw-hill
ISBN: 9780071736756
Category : Business & Economics
Languages : en
Pages : 192
Book Description
All the value of six sigma--Immediate results now available without the overhead! In today's economy, organizations need to improve quality, solve problems, and increase efficiencies on the fly—and Six Sigma has proven its worth to large and small companies around the world in all these areas. Written by a leading Six Sigma expert, Warren Brussee, Six Sigma on a Budget explains how you can use the principles of Six Sigma to see immediate results--all without expensive consultants or disruptive classes. Exclusive features of Six Sigma on a Budget: Written in plain English, it delivers huge benefits to anyone who's learned high school math and Microsoft Excel Can be implemented by managers or individuals without additional staff—in virtually any type of business Teaches all Six Sigma and Lean Six Sigma skills to give you knowledge equivalent to a traditionally trained Six Sigma green belt Includes case studies, formulas, glossary, quick tips, and other at-a-glance aids From the basics to more advanced strategies, the invaluable skills in Six Sigma on a Budget help you get great results with a limited investment of time and money. Warren Brussee was an engineer and plant manager at General Electric for 33 years. He is the holder of multiple patents for his Six Sigma work and is the author of numerous Six Sigma books, including Statistics for Six Sigma Made Easy and All About Six Sigma. He lives in Columbia, SC.
Statistics with Confidence
Author: Douglas Altman
Publisher: John Wiley & Sons
ISBN: 1118702506
Category : Medical
Languages : en
Pages : 322
Book Description
This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.
Publisher: John Wiley & Sons
ISBN: 1118702506
Category : Medical
Languages : en
Pages : 322
Book Description
This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.
Introduction to Engineering Statistics and Lean Sigma
Author: Theodore T. Allen
Publisher: Springer Science & Business Media
ISBN: 1849960003
Category : Technology & Engineering
Languages : en
Pages : 573
Book Description
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.
Publisher: Springer Science & Business Media
ISBN: 1849960003
Category : Technology & Engineering
Languages : en
Pages : 573
Book Description
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.
Small Business Management
Author: Timothy S. Hatten
Publisher: SAGE Publications
ISBN: 1544356080
Category : Business & Economics
Languages : en
Pages : 513
Book Description
Now with SAGE Publishing! Timothy S. Hatten’s Small Business Management: Creating a Sustainable Competitive Advantage, Seventh Edition equips students with the tools they need to navigate the important financial, legal, marketing, managerial, and operational decisions to help them create and maintain a sustainable competitive advantage in small business. Strong emphasis is placed on application with Experiential Learning Activities and application of technology and social media throughout. New cases, real-world examples, and illuminating features spotlight the diverse, innovative contributions of small business owners to the economy. Whether your students dream of launching a new venture, purchasing a franchise, managing a lifestyle business, or joining the family company, they will learn important best practices for competing in the modern business world. New to this Edition Experiential Learning Activities provide students with hands-on opportunities to practice their small business management skills. Tech in Action boxes highlight how small business owners can leverage technology, big data, and social media. Issues in Small Business boxes prompt critical thinking on current issues. Small Business in Action videos showcase stories and interviews from a wide variety of small business owners. How To. . . videos provide students with instructions and examples of basic business tasks such as performing a breakeven analysis, understanding income statements, and forecasting demand.
Publisher: SAGE Publications
ISBN: 1544356080
Category : Business & Economics
Languages : en
Pages : 513
Book Description
Now with SAGE Publishing! Timothy S. Hatten’s Small Business Management: Creating a Sustainable Competitive Advantage, Seventh Edition equips students with the tools they need to navigate the important financial, legal, marketing, managerial, and operational decisions to help them create and maintain a sustainable competitive advantage in small business. Strong emphasis is placed on application with Experiential Learning Activities and application of technology and social media throughout. New cases, real-world examples, and illuminating features spotlight the diverse, innovative contributions of small business owners to the economy. Whether your students dream of launching a new venture, purchasing a franchise, managing a lifestyle business, or joining the family company, they will learn important best practices for competing in the modern business world. New to this Edition Experiential Learning Activities provide students with hands-on opportunities to practice their small business management skills. Tech in Action boxes highlight how small business owners can leverage technology, big data, and social media. Issues in Small Business boxes prompt critical thinking on current issues. Small Business in Action videos showcase stories and interviews from a wide variety of small business owners. How To. . . videos provide students with instructions and examples of basic business tasks such as performing a breakeven analysis, understanding income statements, and forecasting demand.
Introduction to Statistical Quality Control
Author: Christina M. Mastrangelo
Publisher: Wiley
ISBN:
Category : Business & Economics
Languages : en
Pages : 244
Book Description
Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.
Publisher: Wiley
ISBN:
Category : Business & Economics
Languages : en
Pages : 244
Book Description
Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.