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Informationen zum Autor Amitava Mitra is the author of Solutions Manual to accompany Fundamentals of Quality Control and Improvement, 3rd Edition, published by Wiley. Klappentext Incorporating modern ideas, methods, and philosophies, Fundamentals of Quality Control and Improvement, Third Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, this timely new edition promotes a unique "do it right the first time" approach and focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. Zusammenfassung Incorporating modern ideas, methods, and philosophies, Fundamentals of Quality Control and Improvement, Third Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, this timely new edition promotes a unique "do it right the first time" approach and focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. Inhaltsverzeichnis PREFACE vii CHAPTER 1: INTRODUCTION TO QUALITY CONTROL AND THE TOTAL QUALITY SYSTEM 1 CHAPTER 2: SOME PHILOSOPHIES AND THEIR IMPACT ON QUALITY 15 CHAPTER 3: QUALITY MANAGEMENT: PRACTICES, TOOLS, AND STANDARDS 27 CHAPTER 4: FUNDAMENTALS OF STATISTICAL CONCEPTS AND TECHNIQUES IN QUALITY CONTROL AND IMPROVEMENT 45 CHAPTER 5: DATA ANALYSES AND SAMPLING 73 CHAPTER 6: STATISTICAL PROCESS CONTROL USING CONTROL CHARTS 85 CHAPTER 7: CONTROL CHARTS FOR VARIABLES 97 CHAPTER 8: CONTROL CHARTS FOR ATTRIBUTES 125 CHAPTER 9: PROCESS CAPABILITY ANALYSIS 151 CHAPTER 10: ACCEPTANCE SAMPLING PLANS FOR ATTRIBUTES AND VARIABLES 177 CHAPTER 11: RELIABILITY 197 CHAPTER 12: EXPERIMENTAL DESIGN AND THE TAGUCHI METHOD 203 ...
