Mastering Statistical Process Control
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A01=Tim Stapenhurst
Attributes Charts
Author_Tim Stapenhurst
Average Run Length
benchmarking performance metrics
Bus Arrivals
Category=KJMV5
chart
charts
Check Sheet
conditions
Control Chart
Control Chart Signals
cusum
Cusum Charts
Data Set
Difference Chart
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Foot Drilled
human factors measurement
industrial data analysis
Jun Jul Aug Sep Oct
LAL
limit
limits
Lower Warning Limit
Moving Range Chart
MR Chart
Multivariate Charts
Np Chart
out-of
Out-of Control Conditions
Out-of Control Point
Out-of Control Signals
process monitoring techniques
quality improvement methods
range
Range Chart
Rods Experiment
run
Run Chart
Six Sigma integration
statistical process control for engineers
Vice Versa
warning
Warning Limits
Product details
- ISBN 9780750665292
- Weight: 832g
- Dimensions: 174 x 246mm
- Publication Date: 18 May 2005
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Mastering Statistical Process Control shows how to understand business or process performance more clearly and more effectively. This practical book is based on a rich and varied selection of case studies from across industry and commerce, including material from the manufacturing, extractive and service sectors. It will enable readers to understand how SPC can be used to maximum effect, and will deliver more effective monitoring, control and improvement in systems, processes and management.
The common obstacle to successful use of SPC is getting bogged down with control charts, forgetting that visual representation of data is but a tool and not an end in itself. Mastering SPC demonstrates how statistical tools are applied and used in reality. This is a book that will open up the power of SPC for many: managers, quality professionals, engineers and analysts, as well as students, will welcome the clarity and explanation that it brings to understanding the use and benefit of SPC in a wide range of engineering, production and service situations.
Key case studies include using SPC to:
· Measure quality and human factors
· Monitor process performance accurately over long periods
· Develop best-practice benchmarks using control charts
· Maximise profitability of fixed assets
· Improve customer service and satisfaction
