Abstract
A key issue for the use of control charts in a manufacturing process is the selection of their design parameters. At the moment of chart design, it is important to consider the inspection resources available at the workstation and the process operating parameters, which can strongly constrain the search for optimal chart design parameters. In this paper, the constrained economic-statistical designs of EWMA and Shewhart charts monitoring the sample mean are compared: the SPC inspection activities are locally self-managed by a worker demanded also to perform the manufacturing activities at the workstation. The shift to the out-of-control condition for the monitored quality characteristic is assumed as a random variable. A benchmark of 64 process scenarios has been generated to investigate the influence of several process operating parameters and workstation configuration. Finally, the accuracy of the expected inspection cost estimation has been computed for several distributions fitting the random shift behaviour.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Quality Engineering and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
