z-logo
Premium
Note on ‘Construction of Double Sampling s‐Control Charts for Agile Manufacturing’
Author(s) -
Hsu LieFern
Publication year - 2007
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.776
Subject(s) - control chart , sampling (signal processing) , reliability (semiconductor) , control (management) , statistical process control , chart , agile software development , shewhart individuals control chart , quality (philosophy) , sample size determination , statistics , engineering , computer science , reliability engineering , industrial engineering , process (computing) , operations research , mathematics , ewma chart , artificial intelligence , telecommunications , physics , philosophy , software engineering , quantum mechanics , epistemology , operating system , detector , power (physics)
He and Grigoryan ( Quality and Reliability Engineering International 2002; 18 :343–355) formulated the design of a double‐sampling (DS) s control chart as an optimization problem and solved it with a genetic algorithm. They concluded that the DS s control charts can be a more economically preferable alternative in detecting small shifts than traditional s control charts. We explain that, since they only considered the average sample size when the process is in control, their conclusion is questionable. Copyright © 2006 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom