Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches often ...

The extent to which products meet specifications needs to be systematically monitored in a production process. Product quality will typically be defined by two quantities: deviations from stated ...

Statistical process control (SPC) involves ongoing checks to ensure that neither the mean nor the variability of the process readings has changed. Conventionally, this is done by pairs of ...

DUBLIN--(BUSINESS WIRE)--The "6-Hour Virtual Seminar on Statistical Process Control & Process Capability" webinar has been added to ResearchAndMarkets.com's offering. Statistical Process Control ...

The use of multiple control limits and multiple corresponding levels of response for processes is an effective way for statistical process control when different assignable causes exist which lead to ...

The Christie NHS Foundation Trust in Manchester has implemented visualisation software on statistical process control (SPC) charts to improve clinical outcomes. The Christie is Europe’s largest single ...

Part 1 of this article series demonstrates, using real-world process data, that the four fundamental assumptions underlying the classical Shewhart control charts—randomness, independence, constant ...