Chandra Statistical Quality Control

Erscheinungsjahr 2010
ISBN: 978-1-4200-3867-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 296 Seiten

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.

Zielgruppe

Industrial engineering, business and statistics, quality control

Autoren/Hrsg.

Chandra, M. Jeya

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle

Inhaltsverzeichnis

TOLERANCING
Introduction
Preliminaries
Additive Relationship
Probabilistic Relationship
Tolerance Allocation When the Means Are Not Equal to the Nominal Sizes
Tolerance Allocation which Minimizes the Total Manufacturing Cost
Tolerance Allocation in Assemblies with More Than One Quality Characteristic
Tolerance Allocation When the Number of Processes Is Finite
Tolerance Allocation for Nonlinear Relationship among Components
LOSS FUNCTION
Introduction
Development of Taguchi's Loss Function
Loss Function for Different Types of Quality Characteristics
Robust Design Using Loss Function
PROCESS CAPABILITY
Introduction
Preliminaries
Process Capability Indexes and Their Limitations
Steps for Estimating Process Capability Indexes
Estimators of Process Capability Indexes
Process Capability Indexes for Non-normal Characteristics
Probability Distributions of Process Capability Indexes
MEASUREMENT ERROR
Introduction
Modeling of Measurement Errors
Estimation of Measurement Errors
Effect of Measurement Errors
OPTIMUM PROCESS LEVEL
Introduction
Optimal Mean for Larger-the-Better Type Quality Characteristics
Optimal Mean for Canning Problem
Optimal Mean for Nominal-the-Better Type Quality Characteristics
PROCESS SETTING
Introduction
Preliminaries
Optimal Process Setting
PROCESS CONTROL
Introduction
Preliminaries
Design of X Bar Control Charts
Special Control Charts
DESIGN OF EXPERIMENTS
Introduction
Single Factor Experiments
Two Factor Experiments
Nested Designs
2n Full Factorial Designs in Complete Blocks
2n Full Factorial Designs in Incomplete Blocks
2n Fractional Factorial designs
Taguchi's Orthogonal Arrays