Livraria Tiraqui

Statistical Quality Control: A Modern Introduction, International Student Version

Douglas C. Montgomery

Editora: Wiley	ISBN: 9780470233979
Data Edição: 2008	Páginas: 760

Sinopse: The sixth edition of Introduction to Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement. Both traditional and modern methods are presented, including state-of-the-art techniques for statistical process monitoring and control and statistically designed experiments for process characterization, optimization, and process robustness studies. The sixth edition has been updated to place more focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving strategy of six sigma) including a new chapter on the implementation process. Additionally, the text includes new examples, exercises, problems, and techniques. SQC is best suited for upper-division students in engineering, statistics, business and management science or students in graduate courses.

Índice: Part I: Introduction

Chapter 1: Quality Improvement in the Modern Business Environment

Chapter 2: The DMAIC Process

Part II: Statistical Methods Useful in Quality Control and Improvement

Chapter 3: Modeling Process Quality

Chapter 4: Inferences about Process Quality

Part III: Basic Methods of Statistical Process Control and Capability Analysis

Chapter 5: Methods and Philosophy of Statistical Process Control

Chapter 6: Control Charts for Variables

Chapter 7: Control Charts for Attributes

Chapter 8: Process and Measurement System Capability Analysis

Part IV: Other Statistical Process-Monitoring and Control Techniques

Chapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts

Chapter 10: Other Univariate Statistical Process Monitoring and Control Techniques

Chapter 11: Multivariate Process Monitoring and Control

Chapter 12: Engineering Process Control and SPC

Part V: Process Design and Improvement with Designed Experiments

Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements

Chapter 14: Process Optimization and Designed Experiments

Part VI: Acceptance Sampling

Chapter 15: Lot-by-Lot Acceptance Sampling for Attributes

Chapter 16: Other Acceptance Sampling Techniques