A comparison study of effectiveness and robustness of robust economic designs of T2 chart using genetic algorithm

Kamyar Chalaki, Abbas Saghaei and M.B. Moghadam

Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 11, 3383-3396

Abstract: Recently, researchers have tried to design the T2 chart economically to achieve the minimum possible quality cost; however, when T2 chart is designed, it is important to consider multiple scenarios. This research presents the robust economic designs of the T2 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 T2 chart are more effective than traditional economic design in practice.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:45:y:2016:i:11:p:3383-3396

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DOI: 10.1080/03610926.2014.904352

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