Registered by Michael-Olaf

This is a set of scripts for the analysis of projects. The goal is to find out the probability of a certain duration or/and cost. This is based on the idea which stands behind the Monte Carlo Analysis and is an adaption to project management.

The results are CSV files for importing into other applications, HTML-Representations and a GML-File providing a network diagram (usable e.g. with yEd).

Input:
- A project plan which is completely linked (like a network diagram). Loops are allowed if a start and end-point is available (loops from the very end to the very beginning are not possible). Loops will be ignored but are visible in the GML-File. Wrong predecessors will be deleted. Tasks with a duration of 0 are milestones. A milestone is automatically added at the beginning and at the end.

Parameters:
- Iterations: amount of simulations. The maximum is 10'000 and will automatically adjusted if input is higher.
- Rounding for duration and cost: This is used to define how granular statistical data is gathered. 1 means e.g. 12.4, -1 means with the same number 10.

Output:
- Statistical data which shows how often how long the project takes, as CSV and HTML.
- Statistical data which shows how often how high the project costs are, as CSV and HTML.
- Statistical data which correlates time and cost and the occurrence of each of this combination, as CSV and HTML.
- Statistical data which shows the percentage if a task is on the critical path of each tasks, as CSV.
- Statistical data which shows the average lag of each task, as CSV.
- Network plan which shows statistical data, as GML.
- All links to the results above in WIKI-Syntax (MediaWiki).

See http://projectanalysis.lima-city.de/ to try it out (limited to 100 iterations).

See https://answers.launchpad.net/projectanalysis/+faq/465 for the format of project plans and for an example.

Project information

Maintainer:
Michael-Olaf
Driver:
Project Analysis Team
Licence:
GNU GPL v3

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