Statistical Quality Control

A Loss Minimization Approach

Author: Dan Trietsch

Publisher: World Scientific

ISBN: 9789810230319

Category: Technology & Engineering

Page: 385

View: 931

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While many books on quality espouse the Taguchi loss function, they do not examine its impact on statistical quality control (SQC). But using the Taguchi loss function sheds new light on questions relating to SQC and calls for some changes. This book covers SQC in a way that conforms with the need to minimize loss. Subjects often not covered elsewhere include: (i) measurements, (ii) determining how many points to sample to obtain reliable control charts (for which purpose a new graphic tool, diffidence charts, is introduced), (iii) the connection between process capability and tolerances, (iv) how to adapt Deming's kp rule to quadratic loss, (v) how to adjust without tampering. We also discuss the efficiency of various statistics and how control chart constants are derived.
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Statistical Quality Control

Author: Eugene Lodewick Grant,Richard S. Leavenworth

Publisher: McGraw-Hill Companies

ISBN: N.A

Category: Contrôle qualité

Page: 714

View: 8725

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This title is a substantial revision of one of the leading textbooks designed for the statistical quality control course taught in departments of industrial engineering, operations research and statistics . While maintaining its already successful writing style and pedagogy, this title has also incorporated key organizational changes in order to reflect recent trends in the field. The text features large quantity of examples and student problems and a strong introduction to the proper use and misuse of control charts. In this edition several chapters were streamlined, and consolidations and profitability were brought forward in the text. There is new material on experimental design, a reduced emphasis on acceptance sampling, and enhanced attention to the managerial and organizational aspects of quality control. Free SPC expert software is packaged with the text for use as a statistical and graphical tool. Text plus 3.5" diskette. Copyright © Libri GmbH. All rights reserved.
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Statistical quality control for manufacturing managers

Author: William Samuel Messina

Publisher: Wiley-Interscience

ISBN: N.A

Category: Technology & Engineering

Page: 331

View: 7404

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Provides the methods and tools for the manufacturing manager to improve quality, increase productivity, and enhance the competitive position of the manufacturing line. Proposes potentially controversial methods of performance appraisals, operation certification, line qualification, vendor certification, and just-in-time manufacturing. The organization of this book takes the reader logically from the basics of statistics through the fundamentals of statistical quality control, to the manufacturing applications and accompanying manufacturing strategies of statistical quality control (SQC). This book is the first written specifically for manufacturing management. Examples throughout the book demonstrate how the manufacturing manager can successfully implement SQC in the manufacturing process. Real-life manufacturing situations described illustrate situations managers are likely to find in their own line.
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Frontiers in Statistical Quality Control

Author: Hans-Joachim Lenz,G. Barry Wetherill,Peter-Th. Wilrich

Publisher: Physica

ISBN: 9783790803815

Category: Business & Economics

Page: 265

View: 4221

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Like the first two volumes, published in 1981 and 1984 and met with a lively response, the present volume is collecting contributions stressed on methodology or successfull industrial applications. The papers are classified under two main headings; sampling inspection and process quality control. Among the papers dealing with sampling inspection, Liebesman analyzes the forthcoming ISO Standard for attribute skip-lot sampling, and v. Collani derives an alpha-optimal version of the Military Standard 105 D. Schneider and Wilrich have a strong case against cost optimal Bayesian sampling plans. Ohta and Furukawa deal with a new approach for calculating the operating characteristic of sequential sampling plans by attributes. Prematurely terminated sequential life tests for Military Standard 781 C are introduced by Derman, Lieberman and Schechner. Baillie extends the univariate methods for sampling inspection by variables to the multivariate case. A sampling inspection system for incoming batches based on relational databases is discussed by Lenz. The second group of papers deals with process quality control and continuous inspection. Ladany comes with a practical example of the engagement of a mini robot in process quality control . Shahani and Senna give some basic results for a two test scheme for the detection of failure of a production process, and Bergman suggests a control chart which is an improvement of an acceptance control chart. Montgomery, Gardiner and Pizzano discuss some practical aspects of the use of CUSUM charts and geometric moving average control charts, Wadsworth and Wasserman present a modified CUSUM procedure as a continuous sampling scheme, and Rendtel uses a generalized CUSUM-scheme to control the percent defective of a continuous production process. Heuristic economical designs for and R control charts are proposed by Saniga. Arnold designs and compares control charts based on the minimax principle. Woodall shows that the usually ignored statistical performance of economically optimal control charts can often be greatly improved. Murugesan and Hassan investigate the design of interrelated manufacturing and quality systems for multistage nonserial production.
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Statistical Quality Control

A Modern Introduction

Author: Douglas C. Montgomery

Publisher: John Wiley & Sons

ISBN: 9781118322574

Category: Process control

Page: 752

View: 6548

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This 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.
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Introduction to Statistical Quality Control

Author: Douglas C. Montgomery

Publisher: Wiley

ISBN: 9780471661221

Category: Control de calidad - Métodos estadísticos

Page: 759

View: 6188

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This edition has a practical focus, with new coverage of statistical process control and application of control charts. The practical examples and problems have been revised to make use of packages such as Statgraphics.
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Statistical Quality Control

Strategies and Tools for Continual Improvement

Author: Johannes Ledolter,Claude Burrill

Publisher: John Wiley & Sons Incorporated

ISBN: N.A

Category: Business & Economics

Page: 526

View: 5931

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The large collection of exercises for each chapter is supported by Problem Solving Projects at the end of each of the text's five sections. Several of the exercises and projects involve the analysis of large, case-oriented data sets.
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Statistical Quality Control

Author: M. Jeya Chandra

Publisher: CRC Press

ISBN: 9781420038675

Category: Business & Economics

Page: 296

View: 7142

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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, development, and manufacture of products to understand the concepts and techniques of quality control. Statistical Quality Control imparts that understanding. Covering the basic steps in quality assurance and control methodologies, this unique text not only sequences, but also integrates the various techniques presented. The chapters, which include Optimum Process Means and Process Setting, are arranged in logical order. This advanced treatment makes Statistical Quality Control an ideal graduate text as well as a reference for practitioners working in design and quality control.
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