Abstract
Calculating optimized project plans, consisting of an arbitrary number of activities of different types and within a dynamic available pool of human resources characterized by specific profiles can be a most challenging task. We focus mainly on the project control process based on such project plans, which also provide the possibility to integrate different types of external disturbances that normally influence a project workflow. Observed deviations of precalculated time intervals of activities immediately lead to the activation of the so-called self learning components, which automatically tune the personal parameters of each involved workgroup member. At least there are two processes to observe and to synchronize permanently: Real project workflow (the so-called Real System) and its realtime emulation (the so-called Simulation System). Due to all these dynamic requirements and to gain scalability of the system, the implementation selected is based on the usage of different intelligent software agents.
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Mauerkirchner, M., Hoefer, G. (2005). Towards Automated Controlling of Human Projectworking Based on Multiagent Systems. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2005. EUROCAST 2005. Lecture Notes in Computer Science, vol 3643. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556985_38
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DOI: https://doi.org/10.1007/11556985_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29002-5
Online ISBN: 978-3-540-31829-3
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