Research Article
Control charts: a cost‐optimization approach for processes with random shifts
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.
Citing Literature
Number of times cited according to CrossRef: 3
- Joel Sansana, Ricardo Rendall, Zhenyu Wang, Leo H. Chiang, Marco Seabra Reis, Sensor fusion with irregular sampling and varying measurement delays, Industrial & Engineering Chemistry Research, 10.1021/acs.iecr.9b05105, (2020).
- Balázs Dobi, András Zempléni, Markov chain‐based cost‐optimal control charts for health care data, Quality and Reliability Engineering International, 10.1002/qre.2518, 35, 5, (1379-1395), (2019).
- Hai Yun Zhang, M. Shamsuzzaman, Min Xie, Thong Ngee Goh, Design and application of exponential chart for monitoring time-between-events data under random process shift, The International Journal of Advanced Manufacturing Technology, 10.1007/s00170-011-3345-z, 57, 9-12, (849-857), (2011).
