Statistical Quality Control: A Loss Minimization Approach
A Loss Minimization Approach
Author: Dan Trietsch Series: Series On Applied Mathematics
This book covers SQC in a way that conforms with the need to minimize loss.
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Summary
This book covers SQC in a way that conforms with the need to minimize loss.
Description
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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