Introduction to Engineering Statistics and Lean Sigma

2010-04-23
Introduction to Engineering Statistics and Lean Sigma

PDF Introduction to Engineering Statistics and Lean Sigma Download

  • Author: Theodore T. Allen
  • Publisher: Springer Science & Business Media
  • ISBN: 1849960003
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 573

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.

Introduction to Engineering Statistics and Lean Six Sigma

2018-12-06
Introduction to Engineering Statistics and Lean Six Sigma

PDF Introduction to Engineering Statistics and Lean Six Sigma Download

  • Author: Theodore T. Allen
  • Publisher: Springer
  • ISBN: 1447174208
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 633

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 Six Sigma

2006-09-26
Introduction to Engineering Statistics and Six Sigma

PDF Introduction to Engineering Statistics and Six Sigma Download

  • Author: Theodore T. Allen
  • Publisher: Springer Science & Business Media
  • ISBN: 9781852339555
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 560

This book contains precise descriptions of all of the many related six sigma methods. It also includes many case studies that detail how these methods have been applied in engineering and business to achieve millions of dollars of savings. This book will help readers to determine exactly which methods to apply in which situations and to predict how and when the methods might not be effective. Illustrative examples are provided for all the methods presented and exercises based on the case studies help build associations between techniques and industrial problems.

Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers

2015-11-16
Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers

PDF Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers Download

  • Author: Wei Zhan
  • Publisher: Momentum Press
  • ISBN: 1606504932
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 247

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.

Six Sigma with R

2012-07-04
Six Sigma with R

PDF Six Sigma with R Download

  • Author: Emilio L. Cano
  • Publisher: Springer Science & Business Media
  • ISBN: 1461436524
  • Category : Mathematics
  • Languages : en
  • Pages : 296

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.

Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements

2011-09-20
Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements

PDF Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements Download

  • Author: Mikel J. Harry
  • Publisher: John Wiley & Sons
  • ISBN: 1118210212
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 827

This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies. Emphasizing applications and the implementation of data analyses as they relate to this strategy for business management, this book introduces readers to the concepts and techniques for solving problems and improving managerial processes using Six Sigma and Lean Six Sigma. Written by knowledgeable professionals working in the field today, the book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma practices, including: Discrete random variables and continuous random variables Sampling distributions Estimation and hypothesis tests Chi-square tests Analysis of variance Linear and multiple regression Measurement analysis Survey methods and sampling techniques The authors provide numerous opportunities for readers to test their understanding of the presented material, as the real data sets, which are incorporated into the treatment of each topic, can be easily worked with using Microsoft Office Excel, Minitab, MindPro, or Oracle's Crystal Ball software packages. Examples of successful, complete Six Sigma and Lean Six Sigma projects are supplied in many chapters along with extensive exercises that range in level of complexity. The book is accompanied by an extensive FTP site that features manuals for working with the discussed software packages along with additional exercises and data sets. In addition, numerous screenshots and figures guide readers through the functional and visual methods of learning Six Sigma and Lean Six Sigma. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements is an excellent book for courses on Six Sigma and statistical quality control at the upper-undergraduate and graduate levels. It is also a valuable reference for professionals in the fields of engineering, business, physics, management, and finance.

Collaborative Engineering

2008-07-08
Collaborative Engineering

PDF Collaborative Engineering Download

  • Author: Ali K. Kamrani
  • Publisher: Springer Science & Business Media
  • ISBN: 0387473211
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 300

This superb study offers insights into the methods and techniques that enable the implementation of a Collaborative Engineering concept on product design. It does so by integrating capabilities for intelligent information support and group decision-making, utilizing a common enterprise network model and knowledge interface through shared ontologies. The book is also a collection of the latest applied methods and technology from selected experts in this area.

The McGraw Hill 36 Hour Six Sigma Course

2004-07-22
The McGraw Hill 36 Hour Six Sigma Course

PDF The McGraw Hill 36 Hour Six Sigma Course Download

  • Author: Greg Brue
  • Publisher: McGraw Hill Professional
  • ISBN: 0071446028
  • Category : Business & Economics
  • Languages : en
  • Pages : 433

Learn the essentials of Six Sigma in just 36 hours The McGraw-Hill 36-Hour Six Sigma Course provides you with the knowledge you need to understand, implement, and manage a Six Sigma program. This detailed yet accessible guide explores 10 essential Six Sigma tools for manufacturing along with other core components of a Six Sigma program.

Introduction to Statistical Quality Control

2019-12-30
Introduction to Statistical Quality Control

PDF Introduction to Statistical Quality Control Download

  • Author: Douglas C. Montgomery
  • Publisher: John Wiley & Sons
  • ISBN: 1119657113
  • Category : Einführung
  • Languages : en
  • Pages : 773

"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, provides students with a solid base of conceptual and practical knowledge."--

Supply Chain Management: Concepts, Methodologies, Tools, and Applications

2012-12-31
Supply Chain Management: Concepts, Methodologies, Tools, and Applications

PDF Supply Chain Management: Concepts, Methodologies, Tools, and Applications Download

  • Author: Management Association, Information Resources
  • Publisher: IGI Global
  • ISBN: 1466626755
  • Category : Business & Economics
  • Languages : en
  • Pages : 1880

In order to keep up with the constant changes in technology, business have adopted supply chain management to improve competitive strategies on a strategic and operational level. Supply Chain Management: Concepts, Methodologies, Tools, and Applications is a reference collection which highlights the major concepts and issues in the application and advancement of supply chain management. Including research from leading scholars, this resource will be useful for academics, students, and practitioners interested in the continuous study of supply chain management and its influences.