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• W2920966169 abstract "Statistical process control (SPC) techniques have been implemented in a few studies in order to determine action limits on the earned value management (EVM) indices to assist project managers in monitoring project performance. Nevertheless, these indices are correlated, reliance on univariate control charts when more than one variable are involved and they are correlated may lead to unsatisfactory results such as increasing the rate of false alarms. This study presented an approach to overcome this limitation by applying multivariate Hotelling's T2 control chart to take into account possible correlations between EVM indicators and describe the entire capability of the project performance more accurately. Furthermore, in order to quantify how well a project can meet its requirements, some practical multivariate process capability indices (PCIs) are introduced. This approach provides management with more reliable information about the deviations between planned and actual performance both in terms of time and cost simultaneously." @default.
• W2920966169 created "2019-03-22" @default.
• W2920966169 creator A5040162859 @default.
• W2920966169 creator A5056914956 @default.
• W2920966169 date "2019-04-01" @default.
• W2920966169 modified "2023-10-17" @default.
• W2920966169 title "Multivariate statistical control chart and process capability indices for simultaneous monitoring of project duration and cost" @default.
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• W2920966169 doi "https://doi.org/10.1016/j.cie.2019.03.021" @default.
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