Statistical quality control: a loss minimization approach
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, di…
Read More ↓Title Statements
- Full title :Statistical quality control : a loss minimization approach / Dan Trietsch.
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).
Read More ↓Edition Statements
- Publication Date:©1999.
Publication Statements
- Publisher(s):World Scientific
- Place of Publication:Singapore
- Language:eng
- Publication Date:©1999.
The Physical Object
- Description:1 ressource en ligne (xvi, 385 pages) : : illustrations.
Edition Identifiers
- ISBN:9789812796295, 9812796290
- oclc:ocn987327387
- LC Classification:TS156
- Dewey Decimal:658.5/62
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