Statistical Quality Control: A Loss Minimization Approach / Najlacnejšie knihy
Statistical Quality Control: A Loss Minimization Approach

Code: 05065712

Statistical Quality Control: A Loss Minimization Approach

by Dan Trietsch

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 som ... more

155.35 €

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Book synopsis

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 chats, 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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Book category Books in English Mathematics & science Mathematics Probability & statistics

155.35 €

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