eBook - PDF

Statistical Quality Control: A Loss Minimization Approach

Name: Statistical Quality Control: A Loss Minimization Approach
ISBN: 9789812796295

A Loss Minimization Approach

Dan Trietsch,

404 pages
English
PDF
Available on iOS & Android

eBook - PDF

Statistical Quality Control: A Loss Minimization Approach

A Loss Minimization Approach

Dan Trietsch,

About this book

While many books on quality espouse the Taguchi loss function, they do not examine its impact on statistical quality control (SQC). But using the Taguchi loss function sheds new light on questions relating to SQC and calls for some changes. This book covers SQC in a way that conforms with the need to minimize loss. Subjects often not covered elsewhere include: (i) measurements, (ii) determining how many points to sample to obtain reliable control charts (for which purpose a new graphic tool, diffidence charts, is introduced), (iii) the connection between process capability and tolerances, (iv) how to adapt Deming's kp rule to quadratic loss, (v) how to adjust without tampering. We also discuss the efficiency of various statistics and how control chart constants are derived.

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Yes, you can access Statistical Quality Control: A Loss Minimization Approach by Dan Trietsch in PDF and/or ePUB format, as well as other popular books in Matemáticas & Matemática aplicada. We have over one million books available in our catalogue for you to explore.