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‘Nonstationarity in statistical process control – issues, cases, ideas’ by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker

‘Nonstationarity in statistical process control – issues, cases, ideas’ by B. De Ketelaere, K.... 1 Introduction The authors have addressed some important issues regarding the use of statistical process control (SPC) techniques in situations where the process data are nonstationary. I will limit my comments to the application of SPC for nonstationary situations in animal agriculture. Animal agriculture deals with the management of genetics, nutrition, reproduction, etc. of domesticated species such as cows, pigs, and chickens that produce products such as milk, meat, and eggs for human benefits. Statistical process control techniques have been proposed for monitoring animal performance for over 30 years but applications are still scarce. For example, SPC techniques have been proposed to monitor growth of beef cattle and chickens, eggs production, milk production, reproductive success rate, etc. . Alerts, or signals on control charts, would typically indicate undesirable performance, for example that the animals being monitored are sick, or the farm workers unexpectedly deviated from standard operating protocols, thereby changing the way the animals are cared for. Alerts might also indicate desired performance such as a change in an animal's behavior suggesting that the animal is ready to be inseminated and become pregnant or she is ready to give birth. The amount of data collected to measure the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Stochastic Models in Business and Industry Wiley

‘Nonstationarity in statistical process control – issues, cases, ideas’ by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker

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References (8)

Publisher
Wiley
Copyright
Copyright © 2011 John Wiley & Sons, Ltd.
ISSN
1524-1904
eISSN
1526-4025
DOI
10.1002/asmb.912
Publisher site
See Article on Publisher Site

Abstract

1 Introduction The authors have addressed some important issues regarding the use of statistical process control (SPC) techniques in situations where the process data are nonstationary. I will limit my comments to the application of SPC for nonstationary situations in animal agriculture. Animal agriculture deals with the management of genetics, nutrition, reproduction, etc. of domesticated species such as cows, pigs, and chickens that produce products such as milk, meat, and eggs for human benefits. Statistical process control techniques have been proposed for monitoring animal performance for over 30 years but applications are still scarce. For example, SPC techniques have been proposed to monitor growth of beef cattle and chickens, eggs production, milk production, reproductive success rate, etc. . Alerts, or signals on control charts, would typically indicate undesirable performance, for example that the animals being monitored are sick, or the farm workers unexpectedly deviated from standard operating protocols, thereby changing the way the animals are cared for. Alerts might also indicate desired performance such as a change in an animal's behavior suggesting that the animal is ready to be inseminated and become pregnant or she is ready to give birth. The amount of data collected to measure the

Journal

Applied Stochastic Models in Business and IndustryWiley

Published: Jul 1, 2011

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