Engineering an Algorithm for Reducing Variation in Manufacturing Processes.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Steiner, Stefan H.
Otros Autores: MacKay, R. Jock
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Milwaukee : ASQ Quality Press, 2004.
Temas:
Production management.
Manufacturing processes.
Production > Gestion.
Fabrication.
manufacturing.
Manufacturing processes
Production management
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Material on Enclosed CD-ROM; Figures and Tables; Acknowledgments; Preface; 1 Introduction; PART I Setting the Stage; 2 Describing Processes; 3 Seven Approaches to Variation Reduction; 4 An Algorithm for Reducing Variation; 5 Obtaining Process Knowledge Empirically; PART II Getting Started; 6 Defining a Focused Problem; 7 Checking the Measurement System; 8 Choosing a Working Variation Reduction Approach; PART III Finding a Dominant Cause of Variation; 9 Finding a Dominant Cause Using the Method of Elimination; 10 Investigations to Compare Two Families of Variation.
  • 11 Investigations to Compare Three or More Families of Variation12 Investigations Based on Single Causes; Chapter 13 Verifying a Dominant Cause; PART IV Assessing Feasibility and Implementing a Variation Reduction Approach; 14 Revisiting the Choice of Variation Reduction Approach; 15 Moving the Process Center; 16 Desensitizing a Process to Variation in a Dominant Cause; 17 Feedforward Control Based on a Dominant Cause; 18 Feedback Control; 19 Making a Process Robust; 20 100% Inspection; 21 Validating a Solution and Holding the Gains; References; Index; Case Studies.
  • Case Study I Brake Rotor BalanceCase Study II Rod Thickness; Case Study III Crankshaft Main Diameter; Exercises; Exercise Solutions; Chapter Supplements; Chapter 2 Supplement Describing Processes; Chapter 4 Supplement An Algorithm for Reducing Variation; Chapter 5 Supplement Obtaining Process Knowledge Empirically; Chapter 6 Supplement Defining a Focused Problem; Chapter 7 Supplement Checking the Measurement System; Chapter 9 Supplement Finding a Dominant Cause Using the Method of Elimination; Chapter 10 Supplement Investigations to Compare Two Families of Variation.
  • Chapter 11 Supplement Investigations to Compare Three or More Families of VariationChapter 12 Supplement Investigations Based on Single Causes; Chapter 13 Supplement Verifying a Dominant Cause; Chapter 15 Supplement Moving the Process Center; Chapter 16 Supplement Desensitizing a Process to Variation in a Dominant Cause; Chapter 17 Supplement Feedforward Control Based on a Dominant Cause; Chapter 18 Supplement Feedback Control; Chapter 19 Supplement Making a Process Robust; Using MINITAB; Appendix A Data Storage and Manipulation; Appendix B Numerical Summaries; Appendix C Graphical Summaries.
  • Appendix D Analysis of Variance (ANOVA)Appendix E Regression Models and Analysis; Appendix F Planning and Analysis of Designed Experiments.

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