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Author : Western Electric Company
Publisher : Unknown
Page : 0 pages
File Size : 44,7 Mb
Release : 1958
Category : Process control
ISBN : OCLC:26524677
Author : Christina M. Mastrangelo,Douglas C. Montgomery
Publisher : Wiley
Page : 244 pages
File Size : 41,8 Mb
Release : 1991
Category : Business & Economics
ISBN : PSU:000024589727
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.
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 51,8 Mb
Release : 1991
Category : Process control
ISBN : OCLC:232493515
Author : Western Electric Company
Publisher : Unknown
Page : 0 pages
File Size : 45,6 Mb
Release : 1958
Category : Process control
ISBN : OCLC:26524677
Author : Eugene L. Grant,Richard S. Leavenworth
Publisher : Unknown
Page : 684 pages
File Size : 49,5 Mb
Release : 1985
Category : Electronic
ISBN : OCLC:438488857
Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
Page : 773 pages
File Size : 41,8 Mb
Release : 2019-12-30
Category : Einführung
ISBN : 9781119657118
"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 : Joseph M. Juran
Publisher : Unknown
Page : 818 pages
File Size : 49,9 Mb
Release : 1951
Category : Quality control
ISBN : UOM:39015056631982
Author : Merton R. Hubbard
Publisher : Springer Science & Business Media
Page : 347 pages
File Size : 53,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461501497
Specifically targeted at the food industry, this state-of-the-art text/reference combines all the principal methods of statistical quality and process control into a single, up-to-date volume. In an easily understood and highly readable style, the author clearly explains underlying concepts and uses real world examples to illustrate statistical techniques. This Third Edition maintains the strengths of the first and second editions while adding new information on Total Quality Management, Computer Integrated Management, ISO 9001-2002, and The Malcolm Baldrige Quality Award. There are updates on FDA Regulations and Net Weight control limits, as well as additional HACCP applications. A new chapter has been added to explain concepts and implementation of the six-sigma quality control system.
Author : M. Jeya Chandra
Publisher : CRC Press
Page : 298 pages
File Size : 48,6 Mb
Release : 2001-06-21
Category : Business & Economics
ISBN : 9781420038675
It has recently become apparent that "quality" is quickly becoming the single most important factor for success and growth in business. Companies achieving higher quality in their products through effective quality improvement programs enjoy a significant competitive advantage. It is, therefore, essential for engineers responsible for design, devel
Author : Mustafa Ozilgen
Publisher : CRC Press
Page : 696 pages
File Size : 46,9 Mb
Release : 2011-03-01
Category : Technology & Engineering
ISBN : 9781439877678
Presenting mathematical prerequisites in summary tables, this book explains fundamental techniques of mathematical modeling processes essential to the food industry. The author focuses on providing an in-depth understanding of modeling techniques, rather than the finer mathematical points. Topics covered include modeling of transport phenomena, kin
Author : Douglas C. Montgomery,Cheryl L. Jennings,Michele E. Pfund
Publisher : Wiley
Page : 0 pages
File Size : 50,8 Mb
Release : 2010-04-12
Category : Technology & Engineering
ISBN : 0471697915
This book presents an organized approach to quality management, control, and improvement. Because quality problems usually are the outcome of uncontrolled or excessive variability, statistical tools and other analytical methods play an important role in solving these problems. However, these techniques need to be implemented within a management structure that will ensure success. This text focuses on both the management structure and the statistical and analytical tools. It organizes and presents this material according to many years of teaching, research, and professional practice across a wide range of business and industrial settings.
Author : Bhisham C. Gupta
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 48,6 Mb
Release : 2021-07-23
Category : Technology & Engineering
ISBN : 9781119671725
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 : Mark L. Crossley
Publisher : Quality Press
Page : 561 pages
File Size : 54,5 Mb
Release : 2007-07-18
Category : Business & Economics
ISBN : 9780873897297
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 : J. M. Juran,A. Blanton Godfrey
Publisher : McGraw Hill Professional
Page : 24 pages
File Size : 49,7 Mb
Release : 1999-01-21
Category : Technology & Engineering
ISBN : 9780071386876
For decades, Juran's Quality Handbook has been the one essential reference in quality management and engineering—the ultimate authoritative source of answers on quality applications, procedures, techniques, and strategies. Now this Fifth Edition—a major revision and the first new edition of Juran's Quality Handbook in more than 10 years—forges a new standard in tools for quality. Bringing managers and engineers the most up-to-date methods, research, and theory, under the guidance of a team of the world's top experts, Juran's shows you how to plan for quality, achieve quality control, and ensure quality results. Packed with new methods, research, and thought on quality, and emphasizing the need for quality software and quality software development methods, this completely updated classic also gives you new information, new techniques, and new applications. Broad in scope and inclusive in methodology, Juran's Quality Handbook is the reference of choice for anyone concerned with quality in business, manufacturing, or engineering. Whether you're just beginning your journey or a longtime traveler on the quality path, this book is the best possible companion for your voyage.
Author : Hoang Pham
Publisher : Springer Nature
Page : 1136 pages
File Size : 45,6 Mb
Release : 2023-04-20
Category : Technology & Engineering
ISBN : 9781447175032
In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.
