Abstract
In case of using methodology of project planning, in the first step we had to create a “good” logic network. We had to determine the successors and predecessors of the tasks. However, usually successors and predecessors proceed from the technology, sometimes (especially in case of IT and innovation projects) these relations between tasks are not explicit. In case of projects especially IT and innovation projects; one of the most critical points of views is the phase of logic planning. In spite of the fact that it is a very important phase, it is hardly supported by any kind of project management tools. Our goal was to support the logic planning phase. In our study a new planning method, namely Project Expert Matrix (PEM) is introduced. The PEM method can determine all feasible solutions with the help of stochastic variables and can also take into consideration all the possible precedents. The parameters of logic relations can be changed if the impacts on the project change. With this method the most probable project scenario can be determined taking into account time, cost, and resource demands.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Project Management Institute (2006) A guide to the project management body of knowledge (PMBOK® Guide—3rd edn.), ISBN 963 05 8401 8
Kelley JE Jr, Walker MR (1959) Critical path planning and scheduling: an introduction. Mauchly Associates, Ambler
Fondahl JW (1961) A non-computer approach to the critical path method for the construction industry. Technical report no 9, The Construction Institute, Stanford University, CA
Fulkerson DR (1962) Expected critical path length in PERT network. Oper Res 10(6):808–817
Pritsker AA (1966) GERT: Grafical evaluation and review technique, MEMORANDUM, RM-4973-NASA
Steward D (1981) System analysis and management: structure, strategy, and design. Petrocelli Books, New York
MIT DSM Research Group (2005) MIT DSM Web Site, http://www.dsmweb.org/
Kosztyán, ZsT, Fejes J, Kiss J (2008) Handling stochastic network structures in project scheduling. Szigma XXXIX:85–103
Kiss J, Kosztyán ZsT (2009a) The importance of logic planning in case of IT and innovation projects. AVA (International congress on the aspects and vision of applied economics and informatics), Debrecen
Kiss J, Kosztyán ZsT (2009b) Handling the specialties of Agile IT projects with a new planning method. CONFENIS (The enterprise information systems international conference on research and practical issues of EIS), Győr, Hungary
Dalcher DJ (2009) AiPM book series & research at the NCPM, PMUni conference, Vienna
Tierstein LM (1997) Managing a designer/2000 project. New York Oracle User Group. Fall ‘97. http://www.wrsystems.com/whitepapers/managedes2k.pdf. Accessed 31 May 2008
Borbás I (2010) Development of genetic algorithm in MOGAlib framework to support matrix-based project scheduling. Master thesis, supervisor: Balázs Gaál, Department of Electrical Engineering and Information Systems, University of Pannonia, Veszprém, Hungary
Acknowledgments
The authors would like to thank Edit Komlósi, Anikó Németh, Péter Cserti and István Borbás for their support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this paper
Cite this paper
Kosztyán, Z.T., Kiss, J. (2013). Matrix-Based Methods for Supporting Logic Planning of IT Projects. In: Sobh, T., Elleithy, K. (eds) Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 151. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3558-7_25
Download citation
DOI: https://doi.org/10.1007/978-1-4614-3558-7_25
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-3557-0
Online ISBN: 978-1-4614-3558-7
eBook Packages: EngineeringEngineering (R0)