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[null,"1.","Record Nr.",null,"UNINA9910139729303321"]
[null,null,"Autore",null,"Mitra Amitava"]
[null,null,"Titolo",null,"Solutions manual to accompany Fundamentals of quality control and improvement [[electronic resource] /] / Amitava Mitra"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, N.J., : John Wiley & Sons, 2008"]
[null,null,"ISBN",null,"1-283-44601-4"]
[{"$nulls":4},"9786613446015"]
[{"$nulls":4},"0-470-40983-5"]
[{"$nulls":4},"0-470-40982-7"]
[null,null,"Edizione",null,"[3rd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (242 p.)"]
[null,null,"Disciplina",null,"658.4/013"]
[{"$nulls":4},"658.4013"]
[{"$nulls":4},"658.5/62/015195"]
[null,null,"Soggetti",null,"Quality control - Statistical methods"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"Solutions Manual to Accompany: Fundamentals of Quality Control and Improvement; CONTENTS; PREFACE; CHAPTER 1: INTRODUCTION TO QUALITY CONTROL AND THE TOTAL QUALITY SYSTEM; CHAPTER 2: SOME PHILOSOPHIES AND THEIR IMPACT ON QUALITY; CHAPTER 3: QUALITY MANAGEMENT: PRACTICES, TOOLS, AND STANDARDS; CHAPTER 4: FUNDAMENTALS OF STATISTICAL CONCEPTS AND TECHNIQUES IN QUALITY CONTROL AND IMPROVEMENT; CHAPTER 5: DATA ANALYSES AND SAMPLING; CHAPTER 6: STATISTICAL PROCESS CONTROL USING CONTROL CHARTS; CHAPTER 7: CONTROL CHARTS FOR VARIABLES; CHAPTER 8: CONTROL CHARTS FOR ATTRIBUTES"]
[{"$nulls":4},"CHAPTER 9: PROCESS CAPABILITY ANALYSISCHAPTER 10: ACCEPTANCE SAMPLING PLANS FOR ATTRIBUTES AND VARIABLES; CHAPTER 11: RELIABILITY; CHAPTER 12: EXPERIMENTAL DESIGN AND THE TAGUCHI METHOD"]
[null,null,null,"Sommario/riassunto","A statistical approach to the principles of quality control and management Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Third Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound "]
[{"$nulls":4},"theoretical foundation and illustrating procedural techniques through real-world examples, this timely new edition bridges the gap between statistical quality control and quality management. The bo"]