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Case Study based journal papers - Control Charts: a cost-optimisation approach for processes with random shifts

We focused our research on the economic optimality for control charts.

This is an important question, as traditional control charts do not take important questions, such as cost of sampling, expected cost of false alarm and erroneous production. If we know at least the approximate probability and distribution of possible shift in the process, then our method can design the cost-optimal x-chart to this situation.

We have investigated a similar - but somewhat simpler question for the CUSUM-chart, which is known to possess good properties in shift-detection.

The optimal chart was found by a Markov-chain approach, which has wide applications in process control.

The paper is about to be published in a refereed journal and so it will be available for the target audience (quality managers, engineers throughout the business sector). As we have shown the strength of our methods by an example taken from a Paper Mill, we believe that the methods will be found especially interesting in this sector.

Reported by

Eötvös Loránd University, Dept. of Probability Theory and Statistics
Pázmány P. sétány 1/C
1117 Budapest
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