Title :
Measuring project complexity
Author :
Tie, Brett Nan ; Bolluijt, Jeroen
Author_Institution :
Brooke Inst. Pty. Ltd., Melbourne, VIC, Australia
Abstract :
Most large projects are complex systems of systems themselves or effect changes to complex systems of systems or both. Project complexity is therefore a rich research field, but has yet to develop a generally-accepted industry standard that enables practitioners to utilize current knowledge. A project complexity meta-framework incorporating key insights from existing frameworks has been developed to provide practical guidance and actionable information to project managers, and allow comparisons across organizations and industries. This meta-framework measures inherent complexity characteristics and contextual factors that amplify or attenuate them. Algorithms have been developed to calculate the impact of contextual factors on inherent complexity and hence determine actual or experienced project complexity. Inherent complexity is difficult to change, but contextual factors can often be addressed, at a project level and at a systemic organizational level. The meta-framework provides focus for these improvement efforts in sociotechnical enterprises and a means of tracking their effectiveness.
Keywords :
large-scale systems; organisational aspects; project management; complex systems of systems; complexity characteristics; contextual factors; generally-accepted industry standard; project complexity meta-framework; project managers; sociotechnical enterprises; systemic organizational level; Australia; Complexity theory; Industries; Organizations; Project management; Systems engineering and theory; Time measurement; Project complexity; complexity frameworks; complexity measurement; project management;
Conference_Titel :
System of Systems Engineering (SOSE), 2014 9th International Conference on
Conference_Location :
Adelade, SA
DOI :
10.1109/SYSOSE.2014.6892496