Abstract
In this paper we describe an approach for establishing control limits and sampling times which derives from economic performance criteria and a model for random shifts. The total cost related to both production and control is calculated, based on cost estimates for false alarms, for not identifying a true out of control situation, and for obtaining a data record through sampling. We describe the complete process for applying the method and compare with conventional procedures to real data from a Portuguese pulp and paper industrial plant. It turns out that substantial cost-reductions may be obtained. Copyright © 2004 John Wiley & Sons, Ltd.
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Zempléni, A., Véber, M., Duarte, B., & Saraiva, P. (2004). Control charts: A cost-optimization approach for processes with random shifts. In Applied Stochastic Models in Business and Industry (Vol. 20, pp. 185–200). https://doi.org/10.1002/asmb.521
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