Short-run control chart for multiproducts with multi-items based on unequal means and variances

Soroush Avakh Darestani, Neda Aminpour

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
6 Downloads (Pure)


Statistical process control (SPC) is one of the most important statistical tools for monitoring production processes. It can be effectively designed and implemented when the process or product specifications are consecutively observed from a mass production condition. Normally, short-cycle productions do not have sufficient data to implement SPC. This research introduced how to design and implement short-run control chart for batch production conditions. Monitoring critical specifications of supplied parts to automotive industry was proposed. The results revealed that unequal variables followed normal distribution and can be fluctuated over time for the purpose of monitoring multiple products for each product including multidimensions with unequal means and variances from the central line to control the chart. Out-of-control signals and nonrandom patterns can be recognized on the developed short-run control chart accordingly.
Original languageEnglish
Article number458418
Number of pages4
JournalJournal of Quality and Reliability Engineering
Publication statusPublished - 25 Sep 2014
Externally publishedYes

Bibliographical note

Copyright © 2014 S. Avakh Darestani and N. Aminpour. This is an open access article distributed under the Creative Commons
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is
properly cited.


Dive into the research topics of 'Short-run control chart for multiproducts with multi-items based on unequal means and variances'. Together they form a unique fingerprint.

Cite this