150
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

An extension of Ben-Daya–Rahim (2000) and Rahim–Banerjee (1993) cost models for economic design of T2-control charts for multivariate deteriorating processes with preventive maintenance and early replacement

& ORCID Icon
Pages 2098-2109 | Received 15 Dec 2016, Accepted 06 Feb 2017, Published online: 09 Feb 2018
 

ABSTRACT

Along with economic aspects of statistical quality control, monitoring multiple quality characteristics of industrial processes are usually crucial to mutual relation between customers and manufacturers. In addition, the possibility of age-dependent repair before failure and the preventive maintenance that reduce the shift rate to the out-of-control state of the process can also be applied to increase reliability of a system. To attain joint optimization of the maintenance level, the early replacement time, and the economic design parameters of control charts (the sample size, the sampling interval, and the control limits coefficient), the general approach of Ben-Daya and Rahim (Citation2000) and Rahim and Banerjee (Citation1993) is applied in this paper for multivariate process control. A numerical study assuming the Weibull shock model with increasing failure rate is performed due to its wide application in deteriorating processes.

MATHEMATICS SUBJECT CLASSIFICATION:

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,069.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.