Optimal Control for Multi-variable Problems

Palacios, Luz and Aggarwala, Rita (1999) Optimal Control for Multi-variable Problems. Canadian Industrial Problem Solving Workshops > 3rd IPSW [Victoria 31/5/1999 - 4/5/1999].

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Abstract/Summary

Chemex Laboratories measures concentrations of various minerals in land samples provided by their clients. The problem presented by Chemex is that they would like to be able to detect when their measurement apparatus needs re-calibration due to a shift in process parameters, so as to minimize rework.

Three very contrasting approaches to the problem were taken during the workshop. They are: considering the process as a Markov Chain; use of Bayesian Belief Networks; and Multivariate control chart implementation. Preliminary data analysis for data provided by Chemex was also performed in order to initially assess some of the models considered.

Item Type:	Study Group Report
Study Group:	Canadian Industrial Problem Solving Workshops > 3rd IPSW [Victoria 31/5/1999 - 4/5/1999]
Company Name:	Chemex Laboratories
Industrial Sector:	Materials None/Other
Additional Contributors:	Agyekum, Eric and Amariei, Andreea and Caughlin, Brenda and Cheng, Jie and Huszti, Ella and Jungic, Veselin and Ngembo, Emmanuel and So, Grace and Wiebe, Paul
ID Code:	157
Deposited By:	Michele Taroni
Deposited On:	07 October 2008

Problem Statement

Analytical methods where many elements are determined simultaneously present special difficulties in quality control. The use of individual control charts for each variable (element) is generally not effective due to the combinative aspect of the variation.

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