Statistical Quality Control For The Six Sigma Green Belt

Author : Bhisham C. Gupta,H. Fred Walker
Publisher : Quality Press
Page : 365 pages
File Size : 51,9 Mb
Release : 2007-06-30
Category : Business & Economics
ISBN : 9780873891622

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Statistical Quality Control for the Six Sigma Green Belt by Bhisham C. Gupta,H. Fred Walker Pdf

This book is a desk reference and instructional aid for those individuals currently involved with, or preparing for involvement with, Six Sigma project teams. As Six Sigma team members, Green Belts help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. The second in a four-book series geared specifically for these Green Belt activities, this book provides a thorough discussion of statistical quality control (SQC) tools. These tools are introduced and discussed from the perspective of application rather than theoretical development. From this perspective, readers are taught to consider the SQC tools as statistical “alarm bells” that send signals when there are one or more problems with a particular process. Guidance is also given on the use of Minitab and JMP in doing these various SQC applications. In addition, examples and sample problems from all industries appear throughout the book to aid a Green Belt's comprehension of the material.

Author : D.H. Stamatis
Publisher : CRC Press
Page : 522 pages
File Size : 49,9 Mb
Release : 2002-09-25
Category : Business & Economics
ISBN : 9781420000276

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Six Sigma and Beyond by D.H. Stamatis Pdf

In this volume of the Six Sigma and Beyond series, quality engineering expert D.H. Stamatis focuses on how Statistical Process Control (SPC) relates to Six Sigma. He emphasizes the "why we do" and "how to do" SPC in many different environments. The book provides readers with an overview of SPC in easy-to-follow, easy-to-understand terms. The author reviews and explains traditional SPC tools and how they relate to Six Sigma and goes on to cover the use of advanced techniques. In addition, he addresses issues that concern service SPC and short run processes, explores the issue of capability for both the short run and the long run, and discusses topics in measurement.

Author : Bhisham C. Gupta
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 46,7 Mb
Release : 2021-07-23
Category : Technology & Engineering
ISBN : 9781119671725

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Statistical Quality Control by Bhisham C. Gupta Pdf

STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.

Author : Roderick A. Munro,Govindarajan Ramu,Daniel J. Zrymiak
Publisher : Quality Press
Page : 634 pages
File Size : 43,6 Mb
Release : 2022-06-30
Category : Business & Economics
ISBN : 9781636940311

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The ASQ Certified Six Sigma Green Belt Handbook by Roderick A. Munro,Govindarajan Ramu,Daniel J. Zrymiak Pdf

This handbook is designed to help candidates preparing for the ASQ Six Sigma Green Belt certification exam. Meant for those who already understand the basic concepts of reducing variation and improving processes, it also serves as a helpful reference to the appropriate materials needed to conduct successful Green Belt projects. The layout of the handbook is mapped to the 2022 version of ASQ’s Body of Knowledge (BoK). This revised edition includes new information about: • SMART goals, key process indicators, Takt time, just-in-time processes, and spaghetti diagrams • The Kano model, risk management, business continuity planning, SWOT analysis, and RACI charts • Data collection plans and quality checks • Gap analysis, 5 Whys analysis, and fault tree analysis • Maintaining quality improvements • Document control, audits, training plans, the PDCA cycle, Andon, and Jidoka system

Author : Bhisham C. Gupta,H. Fred Walker
Publisher : ASQ Quality Press
Page : 341 pages
File Size : 43,7 Mb
Release : 2005-01-01
Category : Business & Economics
ISBN : 0873896424

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Applied Statistics for the Six Sigma Green Belt by Bhisham C. Gupta,H. Fred Walker Pdf

Applied Statistics for the Six Sigma Green Belt is a desk reference for Six Sigma green belts or beginners who are not familiar with statistics. As Six Sigma team members, green belts will help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. This book will serve as an excellent instructional tool developing a strong understanding of basic statistics including how to describe data both graphically and numerically. Ites specific focus is on concepts, applications, and interpretations of the statistical tools used during, and as part of, the Design, Measure, Analyze, Improve, and Control (DMAIC) methodology. Preview a sample chapter from this book along with the full table of contents by clicking here. You will need Adobe Acrobat to view this pdf file.

Author : Roderick A. Munro,Govindarajan Ramu,Daniel J. Zrymiak
Publisher : Quality Press
Page : 630 pages
File Size : 54,6 Mb
Release : 2015-05-13
Category : Business & Economics
ISBN : 9780873898911

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The Certified Six Sigma Green Belt Handbook, Second Edition by Roderick A. Munro,Govindarajan Ramu,Daniel J. Zrymiak Pdf

This reference manual is designed to help those interested in passing the ASQ's certification exam for Six Sigma Green Belts and others who want a handy reference to the appropriate materials needed to conduct successful Green Belt projects. It is a reference handbook on running projects for those who are already knowledgeable about process improvement and variation reduction. The primary layout of the handbook follows the ASQ Body of Knowledge (BoK) for the Certified Six Sigma Green Belt (CSSGB) updated in 2015. The authors were involved with the first edition handbook, and have utilized first edition user comments, numerous Six Sigma practitioners, and their own personal knowledge gained through helping others prepare for exams to bring together a handbook that they hope will be very beneficial to anyone seeking to pass the ASQ or other Green Belt exams. In addition to the primary text, the authors have added a number of new appendixes, an expanded acronym list, new practice exam questions, and other additional materials

Author : ir. H.C. Theisens
Publisher : Van Haren
Page : 375 pages
File Size : 43,8 Mb
Release : 2020-10-14
Category : Education
ISBN : 9789401809740

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Lean Six Sigma Green Belt by ir. H.C. Theisens Pdf

The structure of this book is based on the LSSA Skill set for Lean and Six Sigma Green Belt All of the techniques described in these Skill set will be reviewed in this book. The Lean elements will be discussed in chapter 1 to 6. The Six Sigma elements will be discussed in chapters 7 and 8. This book can be used for two purposes. Firstly, it acts as a guide for Green Belts undertaking a Lean or Six Sigma project following the DMAIC roadmap (‘Define – Measure – Analyze – Improve – Control’). Secondly, this book serves to determine where the organization stands and what the best strategy is to get to a higher CIMM level.

Author : K. KRISHNAIAH
Publisher : PHI Learning Pvt. Ltd.
Page : 499 pages
File Size : 54,7 Mb
Release : 2014-05-12
Category : Technology & Engineering
ISBN : 9788120349759

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APPLIED STATISTICAL QUALITY CONTROL AND IMPROVEMENT by K. KRISHNAIAH Pdf

Primarily intended for the undergraduate students of industrial, production, mechanical and manufacturing engineering, and postgraduate students of industrial, quality engineering and management and industrial engineering and management, this book fills the gap between theory and practice of tools and techniques of quality control and quality improvement. In this book, the principles and concepts are presented clearly and logically with necessary numerical illustrations to reinforce the understanding of the subject matter. The book is organized in two parts. Part I deals with statistical quality control. It starts with the fundamentals of statistics and quality followed by elaborate discussion on statistical process control, process and gauge capability studies with emphasis on their practical application. It also covers detailed discussion on the various types of control charts used to monitor and control quality of processes and products. It includes acceptance sampling inspection procedures and standard sampling systems. Part II deals with quality improvement techniques/methods. It is a data driven approach that discusses the application of Design of Experiments and Taguchi Methods for improving quality of processes and products. A comprehensive discussion on total quality management is also presented. KEY FEATURES • Provides a well structured procedure for the application of all the tools and techniques. • Includes Shainin DOE tools widely used in Six sigma projects. • Demonstrates the application of quality improvement techniques through real life case studies.

Author : Mikel J. Harry,Prem S. Mann,Ofelia C. De Hodgins,Richard L. Hulbert,Christopher J. Lacke
Publisher : John Wiley & Sons
Page : 827 pages
File Size : 48,7 Mb
Release : 2011-09-20
Category : Technology & Engineering
ISBN : 9781118210215

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Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements by Mikel J. Harry,Prem S. Mann,Ofelia C. De Hodgins,Richard L. Hulbert,Christopher J. Lacke Pdf

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.

Author : Bhisham C. Gupta,H. Fred Walker
Publisher : Unknown
Page : 367 pages
File Size : 40,6 Mb
Release : 2005
Category : Production management
ISBN : OCLC:961568053

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Applied Statistics for the Six Sigma Green Belt by Bhisham C. Gupta,H. Fred Walker Pdf

Author : Mark L. Crossley
Publisher : Quality Press
Page : 561 pages
File Size : 53,8 Mb
Release : 2007-07-18
Category : Business & Economics
ISBN : 9780873897297

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The Desk Reference of Statistical Quality Methods by Mark L. Crossley Pdf

Arranged in alphabetical order for quick reference, this book provides the quality practitioner with a single resource that illustrates, in a practical manner, how to execute specific statistical methods frequently used in the quality sciences. Each method is presented in a stand-alone fashion and includes computational steps, application comments, and a fully illustrated brief presentation on how to use the tool or technique. A plethora of topics have been arranged in alphabetical order, ranging from acceptance sampling control charts to zone format control charts. This reference is accessible for the average quality practitioner who will need a minimal prior understanding of the techniques discussed to benefit from them. Each topic is presented in a standalone fashion with, in most cases, several examples detailing computational steps and application comments. This second edition includes new sections on advanced SPC applications, reliability applications, and Simplex Optimization. There are expansions in the sections on process capability analysis, hypothesis testing, and design of experiments.

Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
Page : 773 pages
File Size : 44,6 Mb
Release : 2019-12-30
Category : Einführung
ISBN : 9781119657118

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Introduction to Statistical Quality Control by Douglas C. Montgomery Pdf

"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."--

Author : Ellis R. Ott,Edward G. Schilling,Dean V. Neubauer
Publisher : Quality Press
Page : 673 pages
File Size : 44,8 Mb
Release : 2005-02-08
Category : Business & Economics
ISBN : 9781953079855

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Process Quality Control by Ellis R. Ott,Edward G. Schilling,Dean V. Neubauer Pdf

Ellis Ott taught generations of quality practitioners to be explorers of the truth through the collection and graphical portrayal of data. From a simple plea to "plot the data" to devising a graphical analytical tool called the analysis of means (ANOM), Ott demonstrated that process knowledge is to be gained by seeking the information contained within the data.In this newest version of Ott's classic text, the authors have strived to continue down the path that he created for others to follow. Additions to this revised edition include: the use of dot plots as an alternative to histograms; digidot plots; adding events to charts; emphasis on the role that acceptance control charts play in controlling risks and the computation of average run length (ARL); a new chapter devoted to process capability, process performance, and process improvement, including the use of confidence intervals for process capability metrics; narrow-limit gauging as another means of assessing the capability of a process; Six Sigma methodology; design resolution; scatter plot matrices as applied to datasets of higher dimensions; and a new chapter on measurement studies.

Author : H. Fred Walker,Ahmad K. Elshennawy
Publisher : Quality Press
Page : 529 pages
File Size : 54,6 Mb
Release : 2019-03-09
Category : Technology & Engineering
ISBN : 9781951058739

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The Certified Quality Inspector Handbook by H. Fred Walker,Ahmad K. Elshennawy Pdf

The quality inspector is the person perhaps most closely involved with day-to-day activities intended to ensure that products and services meet customer expectations. The quality inspector is required to understand and apply a variety of tools and techniques as codified in the American Society for Quality (ASQ) Certified Quality Inspector (CQI) Body of Knowledge (BoK). The tools and techniques identified in the ASQ CQI BoK include technical math, metrology, inspection and test techniques, and quality assurance. Quality inspectors frequently work with the quality function of organizations in the various measurement and inspection laboratories, as well as on the shop floor supporting and interacting with quality engineers and production/service delivery personnel. This handbook supports individuals preparing to perform, or those already performing, this type of work. It is intended to serve as a ready reference for quality inspectors and quality inspectors in training, as well as a comprehensive reference for those individuals preparing to take the ASQ CQI examination. Examples and problems used throughout the handbook are thoroughly explained, are algebra-based, and are drawn from real-world situations encountered in the quality profession. To assist readers in using this book as a ready reference or as a study aid, the book has been organized to conform explicitly to the ASQ CQI BoK. Each chapter title, all major topical divisions within the chapters, and every main point has been titled and then numbered exactly as they appear in the CQI BoK.

Author : Bhisham C. Gupta,Irwin Guttman
Publisher : John Wiley & Sons
Page : 896 pages
File Size : 47,7 Mb
Release : 2013-04-29
Category : Mathematics
ISBN : 9781118464045

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Statistics and Probability with Applications for Engineers and Scientists by Bhisham C. Gupta,Irwin Guttman Pdf

Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.