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| Reference : The Hotelling's T2 Control Chart with variable parameters: Markov Chain Approach |
| E-prints/Working papers : First made available on ORBi | |||
| Business & economic sciences : Quantitative methods in economics & management | |||
| http://hdl.handle.net/2268/90719 | |||
| The Hotelling's T2 Control Chart with variable parameters: Markov Chain Approach | |
| English | |
Faraz, Alireza  [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Statistique appliquée à la gestion et à l'économie >] | |
| Seif, Asghar [Islamic Azad University- Hamadan Branch, Hamadan, Iran. > > > >] | |
| Saniga, Erwin [Department of Business Administration Department, University of Delaware, Newark, Delaware 19716, USA. > > > >] | |
| Heuchenne, Cédric [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Statistique appliquée à la gestion et à l'économie >] | |
| Undated | |
| Yes | |
| [en] The Hotelling’s T2 control chart with variable parameters (VP T2) has been
shown to have improved performance in detecting small process shifts when compared to the original fixed parameter T2 control chart (FRS T2). Practically, though, there are some difficulties in implementation since one needs to use two different measuring scales with the VP T2 chart. In this paper, we propose an alternative sampling scheme to the VP T2 chart. Here we allow the sampling interval h, the sample size n and control limit k to vary between minimum and maximum values while keeping the warning line fixed over time. This proposed method uses only one measurement scale instead of two, greatly increasing its ease of use. Using a mathematical model, we show that this proposed method yields designs that have properties of rapid detection of small and moderate shifts in the process and, in addition, are easy to apply. | |
| http://hdl.handle.net/2268/90719 |
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