Please use this identifier to cite or link to this item:
https://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: | https://hdl.handle.net/10316/8188 | DOI: | 10.1002/asmb.521 | Rights: | openAccess |
Appears in Collections: | FCTUC Eng.Química - Artigos em Revistas Internacionais |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.