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|a 9780873896467
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|a 0873896467
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|b BV044074605
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|a (OCoLC)926453638
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|a TS155 ǂb S773 2005eb
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|a 658.5
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|a UAMI
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|a Steiner, Stefan H.
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|a Engineering an Algorithm for Reducing Variation in Manufacturing Processes.
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|a Milwaukee :
|b ASQ Quality Press,
|c 2004.
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| 300 |
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|a 1 online resource (716 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Print version record.
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|a 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.
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|a 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.
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|a 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.
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|a 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.
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|a Appendix D Analysis of Variance (ANOVA)Appendix E Regression Models and Analysis; Appendix F Planning and Analysis of Designed Experiments.
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
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|a Production management.
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| 650 |
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|a Manufacturing processes.
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| 650 |
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|a Production
|x Gestion.
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| 650 |
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|a Fabrication.
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| 650 |
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|a manufacturing.
|2 aat
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| 650 |
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|a Manufacturing processes
|2 fast
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| 650 |
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7 |
|a Production management
|2 fast
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| 700 |
1 |
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|a MacKay, R. Jock.
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| 776 |
0 |
8 |
|i Print version:
|a Steiner, Stefan H.
|t Engineering an Algorithm for Reducing Variation in Manufacturing Processes.
|d Milwaukee : ASQ Quality Press, ©2004
|z 9780873896467
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| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3002551
|z Texto completo
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| 994 |
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|a 92
|b IZTAP
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