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Planalyzer-2 is a software tool calculating expected project delay and cost increase as a function of project management efficiency. The algorithm is based on a model of strongly correlated tasks or WBS elements sharing the same pool of human or financial resources. Accurate prediction of project costs and durations is still challenging. Conventional "historical" modeling is based on comparison with similar projects in the past, with probability distributions of tasks and WBS elements designed by averaging multiple expert opinions. Historical approach is applied primarily to long projects with stable risk profile but is impractical for analysis of high-risk dynamic projects. With a model of strongly correlated tasks, Planalyzer-2 calculates project uncertainty and risk in real time bringing analyst's capabilities to the project manager's desktop. In the new methodology, major project management functions – minimization of milestone delay and resource sharing between tasks – are expressed mathematically and built into the algorithm. Strongly correlated tasks are depicted by waves having normally distributed wavelengths. Milestone uncetainty and risk are associated with degree of coherence of task waves in the vicinity of milestone. Asymmetry of milestone disribution is caused by random correlation of delays of several tasks. Some project parameters (average task CoV and milestone delay) are calculated directly from the project file, the example is presented by a table below:
Ibico's Planalyzer-2
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Customer Service If you are experiencing a problem with our products or have
questions how to interpret results, email us at
support@ibico-cor.com
Tutorials and Tips Planalyzer Tutorial describes product algorithm and major features; the users familiar with conventional "historical" approach and interested in the alternative method of analysis may download the software and test the example "Satellite" project. Those who are more interested in the specifics of risky project analysis and the new algorithm, might read the Tutorial first.
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