A comparison study of effectiveness and robustness of robust economic designs of T2 chart using genetic algorithm. Issue 11 (2nd June 2016)

• Record Type: Journal Article
• Authors: Chalaki, Kamyar; Saghaei, Abbas; Moghadam, M.B.
• Is Part Of: Communications in statistics. Volume 45:Issue 11(2016)
• Page Start: 3383
• Page End: 3396
• Publication Date: 2016-06-02
• Subjects: Genetic algorithm -- Hotelling's T2 -- Multivariate control chart -- Robust economic design.; Mathematical statistics -- Periodicals; Mathematics; Statistics; 519.2
• DOI: 10.1080/03610926.2014.904352
• Languages: English
• ISSNs: 0361-0926

Abstract

ABSTRACT: Recently, researchers have tried to design the T 2 chart economically to achieve the minimum possible quality cost; however, when T 2 chart is designed, it is important to consider multiple scenarios. This research presents the robust economic designs of the T 2 chart where there is more than one scenario. An illustrative example is used to demonstrate the effect of the model parameters on the optimal designs. The genetic algorithm optimization method is employed to obtain the optimal designs. Simulation studies show that the robust economic designs of T 2 chart are more effective than traditional economic design in practice.