Abstract
For any project management, it is of great interest to improve the accuracy of planning since a delay in the project often causes extra cost. This paper provides a method for dynamical simulation of a project. The results provide probabilistic estimate of project time and gives project manager a chance to make preemptive action to avoid major delay.
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References
An American National Standard: A Guide to the Project Management Body of Knowledge (PMBOK Guide), 4th edn.: Project Management Institute, Inc. (2008)
Haasl, D.F., Roberts, N.H., et al.: Fault Tree Handbook. U.S. Nuclear Regulatory Commission (1981)
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© 2012 Springer-Verlag Berlin Heidelberg
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Shimura, K., Nishinari, K. (2012). Improving a Project Management by Use of Cellular Automata. In: Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2012. Lecture Notes in Computer Science, vol 7495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33350-7_49
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DOI: https://doi.org/10.1007/978-3-642-33350-7_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33349-1
Online ISBN: 978-3-642-33350-7
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