Skip to Main content Skip to Navigation
Conference papers

Short Run Multivariate Control Charts for Process Mean and Variability

Abstract : Statistical process control methods for monitoring short-run processes with multivariate measurements are considered and new multivariate short-run control charts to monitor process mean and variability are proposed. To monitor the process mean the influence function of mean is proposed and to investigate process variability control charts based on the influence function of eigenvalues are suggested. The proposed techniques are general, and the influence functions may be used to build up short-run multivariate control charts relative to either nominal values or estimates. The method is further illustrated with real datasets, from a flexible job shop manufacturing system producing spare parts for classical cars.
Document type :
Conference papers
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download
Contributor : Luan Jaupi Connect in order to contact the contributor
Submitted on : Monday, March 30, 2020 - 7:21:01 PM
Last modification on : Friday, August 5, 2022 - 2:54:00 PM


Files produced by the author(s)


  • HAL Id : hal-02468037, version 1



Luan Jaupi, Dyah E. Herwindiati, Philippe Durand, Dariush Ghorbanzadeh. Short Run Multivariate Control Charts for Process Mean and Variability. World Congress on Engineering 2013, Jul 2013, London, United Kingdom. pp.670-674. ⟨hal-02468037⟩



Record views


Files downloads