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
SCOPUSTM
Citations
8
checked on Nov 9, 2022
WEB OF SCIENCETM
Citations
10
6
checked on May 2, 2023
Page view(s)
284
checked on Oct 16, 2024
Download(s) 50
571
checked on Oct 16, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.