Abstract
The interest in activity sensitivity from both the academics and the practitioners lies in the need to focus a project manager’s attention on those activities that influence the performance of the project. When management has a certain feeling of the relative sensitivity of the various activities on the project objective, a better management focus and a more accurate response during project tracking or control should positively contribute to the overall performance of the project. The technique known as Schedule Risk Analysis (SRA) connects the risk information of project activities to the baseline schedule and provides sensitivity information of individual project activities as a way to assess the potential impact of uncertainty on the final project duration and cost.
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Notes
- 1.
Alternatively, the sample standard deviations can be used, given by \(s_{d_{i}} = \sqrt{\frac{\sum _{k=1 }^{\mathrm{nrs } }{(d_{i }^{k }-\bar{d_{i } })}^{2 } } {\mathrm{nrs}-1}} \ \mathrm{and}\ s_{\mathrm{RD}} = \sqrt{\frac{\sum _{k=1 }^{\mathrm{nrs } }{(\mathrm{{RD }}^{k } -\overline{\mathrm{RD } } )}^{2 } } {\mathrm{nrs}-1}}\).
- 2.
Let (x i , y i ) and (x j , y j ) be a pair of (bivariate) observations. If x j − x i and y j − y i have the same sign, the pair is concordant, if they have opposite signs, the pair is discordant.
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Vanhoucke, M. (2013). Schedule Risk Analysis. In: Project Management with Dynamic Scheduling. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40438-2_5
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DOI: https://doi.org/10.1007/978-3-642-40438-2_5
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