SPC and continuous improvement
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SPC and continuous improvement
IFS Publications , Springer-Verlag, 1989
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内容説明・目次
- 巻冊次
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ISBN 9780387504810
内容説明
This book highlights African biodiversity at all levels ranging from molecules to ecosystems. Major topics are biogeography, speciation processes, phylogenetic patterns and systematics, diversity decline and conservation, and applied biodiversity informatics. The 42 contributions are mostly on insects and vertebrates, but include botanical papers as well as more general chapters on biodiversity informatics.
- 巻冊次
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ISBN 9783540504818
内容説明
There is no doubt that quality has become a major feature in the survival plan of organisations. With diminishing markets resulting from improved competitive performance and the associated factor of single-sourcing arrangements by the major organisations, it is clear that unless there is a commitment to change, organisations will lose their competitive edge. This will unfortunately mean elim- ination and the resultant harsh realities that come with it for the employees. It has been said on many platforms that unemployment is not inevitable. Those organisations which recognise the requirements for survival know that quality, and its association with customer satisfaction, is now a key issue. Survival programmes based on quality improvement require an unrelenting com- mitment to include everyone, from the Managing Director down, in an ongoing, never-ending involvement based on monitoring, and improving, all our activities. These Total Quality Management (TOM) programmes, whatever their specific nature, have a common theme of measuring and then improving. This text describes the philosophy and techniques of one type of involvement programme-Statistical Process Control (SPC).
The material to follow suggests that SPC is a major element of any programme and, if properly applied, could be a complete programme in itself. Measuring and improving means that data must be collected, used, understood, interpreted and analysed, and thereby lies the difficulty.
目次
1 Introduction.- 2 Data collection and representation.- 3 Problem-solving techniques.- 4 Measuring location and variability.- 5 The normal distribution and sampling.- 6 Control charts for variables.- 7. Capability and control.- 8 Interpreting patterns and setting up charts.- 9 Alternative techniques for charting variables.- 10 Control charts for attributes.- 11 Attribute charts for defective units.- 12 Attribute charts for defects.- 13 The Cusum technique.- 14 Machine capability analysis.- 15 Implementing the SPC programme.- 16 Avoiding the pitfalls.- Appendices.- A. Deming's 14 points for management.- C. Control chart constants and formulae.- D. Control chart constants (British Standards).- E. Derivation of US and British control chart constants.- F. Derivation of constants for individual/moving R chart.- G. Symbols and definitions.- H. Various charts Further information.- I. Further information.
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