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Rokou, E., Kirytopoulos, K. and Drivaliaris, D. 2014, 'Towards integrating extensions of resource constrained project scheduling problem', in Fliedner, T., Kolisch, R. and Naber, A. (eds), Proceedings of the 14th International Conference on Project Management and Scheduling, TUM School of Management, March 30th – April 2nd, Munich, pp. 197-201.

The resource-constrained project scheduling problem (RCPSP) is a complex problem even in its simplest form. Due to the difficulties encountered when solving it and much more when handling its various extensions and variations (Barrios, Ballestin & Valls 2011,
Deblaere, Demeulemeester & Herroelen 2010, Pan, Hsaio & Chen 2008, Rivera & Celin 2010, Hartmann 2013, Böttcher, Drexl, Kolisch & Salewski 1999, Kolisch & Padman 2001), even today, there is a lack of generic models that integrate all the different facets of a project
that should be scheduled and provide a solution process (Hartmann & Briskorn 2010). However, in practice projects often fail to fall precisely in a sole case of those studied in the literature. To fill in this research gap, a holistic model is proposed in order to provide a way to
define most of the desired characteristics, and provide a solution process that will generate project schedules adaptable to different project settings, organisational sizes and strategies and scalable according to the size and criticality of the undergoing project.

Keywords – RCPSP, project scheduling, mathematical model, evolutionary algorithms.