Homogeneously weighted moving average control chart with an application in substrate manufacturing processNasir Abbas2018-05-16articleComputers & Industrial Engineering123 citationsclosedNo readable copy stored yet — this record is metadata only.Advanced Statistical Process MonitoringFault Detection and Control SystemsManagement Systems and Quality ImprovementAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 123 citations exist upstream.References1992Introduction to Statistical Quality Control1954CONTINUOUS INSPECTION SCHEMES1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1959Control Chart Tests Based on Geometric Moving Averages2000Control Chart Tests Based on Geometric Moving Averages1986The Exponentially Weighted Moving Average1988Introduction to Statistical Quality Control1982Combined Shewhart-CUSUM Quality Control SchemesCited by2022A critique of a variety of “memory-based” process monitoring methods2020A double homogeneously weighted moving average control chart for monitoring of the process mean2019Efficient Homogeneously Weighted Moving Average Chart for Monitoring Process Mean Using an Auxiliary Variable2019A Multivariate Homogeneously Weighted Moving Average Control Chart2021The impracticality of homogeneously weighted moving average and progressive mean control chart approaches2020A mixed HWMA‐CUSUM mean chart with an application to manufacturing process2019Monitoring the process location by using new ranked set sampling-based memory control charts2021Distribution-free double exponentially and homogeneously weighted moving average Lepage schemes with an application in monitoring exit rate