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Using Shewhart control charts for continuous model optimization

Rodrigo Rezende Amaral (UGent) , Peter Ottoy (UGent) and Veronique Limère (UGent)
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Abstract
This paper intends to provide a view on different possibilities of using Shewhart Control Charts in order to detect sources of imprecision or inaccuracy in models for industrial processes. In the classical approach, control charts are commonly used to detect abnormal variations of a single process variable, which can be the error of a process model. The techniques explored in this work help linking this error to other variables from the model, allowing a fast detection of incorrect parameterization.
Keywords
Statistical Process Control (SPC), Continuous Improvement, Shewhart Control Charts

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MLA
Rezende Amaral, Rodrigo, Peter Ottoy, and Veronique Limère. “Using Shewhart Control Charts for Continuous Model Optimization.” 11th Annual Industrial Simulation Conference, Proceedings. Ed. Veronique Limère & El-Houssaine Aghezzaf. Ostend, Belgium: EUROSIS-ETI, 2013. 139–146. Print.
APA
Rezende Amaral, R., Ottoy, P., & Limère, V. (2013). Using Shewhart control charts for continuous model optimization. In V. Limère & E.-H. Aghezzaf (Eds.), 11th Annual Industrial Simulation Conference, Proceedings (pp. 139–146). Presented at the 11th Annual Industrial Simulation Conference (ISC - 2013), Ostend, Belgium: EUROSIS-ETI.
Chicago author-date
Rezende Amaral, Rodrigo, Peter Ottoy, and Veronique Limère. 2013. “Using Shewhart Control Charts for Continuous Model Optimization.” In 11th Annual Industrial Simulation Conference, Proceedings, ed. Veronique Limère and El-Houssaine Aghezzaf, 139–146. Ostend, Belgium: EUROSIS-ETI.
Chicago author-date (all authors)
Rezende Amaral, Rodrigo, Peter Ottoy, and Veronique Limère. 2013. “Using Shewhart Control Charts for Continuous Model Optimization.” In 11th Annual Industrial Simulation Conference, Proceedings, ed. Veronique Limère and El-Houssaine Aghezzaf, 139–146. Ostend, Belgium: EUROSIS-ETI.
Vancouver
1.
Rezende Amaral R, Ottoy P, Limère V. Using Shewhart control charts for continuous model optimization. In: Limère V, Aghezzaf E-H, editors. 11th Annual Industrial Simulation Conference, Proceedings. Ostend, Belgium: EUROSIS-ETI; 2013. p. 139–46.
IEEE
[1]
R. Rezende Amaral, P. Ottoy, and V. Limère, “Using Shewhart control charts for continuous model optimization,” in 11th Annual Industrial Simulation Conference, Proceedings, Ghent, Belgium, 2013, pp. 139–146.
@inproceedings{3229902,
  abstract     = {This paper intends to provide a view on different possibilities of using Shewhart Control Charts in order to detect sources of imprecision or inaccuracy in models for industrial processes. In the classical approach, control charts are commonly used to detect abnormal variations of a single process variable, which can be the error of a process model. The techniques explored in this work help linking this error to other variables from the model, allowing a fast detection of incorrect parameterization.},
  author       = {Rezende Amaral, Rodrigo and Ottoy, Peter and Limère, Veronique},
  booktitle    = {11th Annual Industrial Simulation Conference, Proceedings},
  editor       = {Limère, Veronique and Aghezzaf, El-Houssaine},
  isbn         = {9789077381762},
  keywords     = {Statistical Process Control (SPC),Continuous Improvement,Shewhart Control Charts},
  language     = {eng},
  location     = {Ghent, Belgium},
  pages        = {139--146},
  publisher    = {EUROSIS-ETI},
  title        = {Using Shewhart control charts for continuous model optimization},
  year         = {2013},
}