Statistical Quality Control A Loss Minimization Approach is popular PDF and ePub book, written by Dan Trietsch in 1999-04-14, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Statistical Quality Control A Loss Minimization Approach can be Read Online from any device for your convenience.
Statistical Quality Control A Loss Minimization Approach Book PDF Summary
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.
Detail Book of Statistical Quality Control A Loss Minimization Approach PDF
- Author : Dan Trietsch
- Release : 14 April 1999
- Publisher : World Scientific
- ISBN : 9789814497770
- Genre : Mathematics
- Total Page : 403 pages
- Language : English
- PDF File Size : 12,8 Mb
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