Introduction to Statistical Quality Control, EMEA Edition

Regular price €59.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
8th Edition
A01=Douglas C. Montgomery
Age Group_Uncategorized
Age Group_Uncategorized
Author_Douglas C. Montgomery
automatic-update
capability analysis
Category1=Non-Fiction
Category=TD
Category=TG
control chart examples
control chart techniques
COP=United States
Delivery_Delivery within 10-20 working days
DMAIC method
DMAIC process
DMAIC technique
Douglas C. Montgomery
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_tech-engineering
Introduction to Statistical Quality Control
Language_English
PA=Available
Price_€50 to €100
process quality modeling
PS=Active
quality improvement
softlaunch
statistical process control
statistical process control examples
statistical process control implementation
statistical process control introduction
statistical process control methods
statistical process control techniques
statistical process control textbook
statistical process methodology
statistical quality control concepts
statistical quality control examples
statistical quality control exercises
statistical quality control implementation
statistical quality control introduction
statistical quality control methodology
statistical quality control methods
statistical quality control problems
statistical quality control techniques
statistical quality control textbook

Product details

  • ISBN 9781119657118
  • Weight: 454g
  • Dimensions: 10 x 10mm
  • Publication Date: 30 Dec 2019
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
Secure checkout Fast Shipping Easy returns

Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.

Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.

A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge.

More from this author