Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/8188
Title: Control charts: a cost-optimization approach for processes with random shifts
Authors: Zempléni, András 
Véber, Miklós 
Duarte, Belmiro 
Saraiva, Pedro 
Issue Date: 2004
Citation: Applied Stochastic Models in Business and Industry. 20:3 (2004) 185-200
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.
URI: http://hdl.handle.net/10316/8188
DOI: 10.1002/asmb.521
Rights: openAccess
Appears in Collections:FCTUC Eng.Química - Artigos em Revistas Internacionais

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