Two Algorithms for Determining Volumes of Convex Polyhedra
Journal of the ACM (JACM)
A cognitive complexity measure for the design process
ICAAICSE '01 Proceedings of the sixth international conference on Application of artificial intelligence to civil & structural engineering
The Delphi method as a research tool: an example, design considerations and applications
Information and Management
Software Project Management Tools: Making a Practical Decision Using AHP
SEW '06 Proceedings of the 30th Annual IEEE/NASA Software Engineering Workshop
Identifying Software Project Risks: An International Delphi Study
Journal of Management Information Systems
Applying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Expert Systems with Applications: An International Journal
RESYGEN: A Recommendation System Generator using domain-based heuristics
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Selection of Concrete Production Facility Location Integrating Fuzzy AHP with TOPSIS Method
International Journal of Productivity Management and Assessment Technologies
Hi-index | 12.07 |
Project complexity is ever growing and needs to be understood, analysed and measured better to assist modern project management. The overall ambition of this paper is therefore to define a measure of project complexity in order to assist decision-making, notably when analysing several projects in a portfolio, or when studying different areas of a project. A synthesised literature review on existing complexity measures is firstly proposed in order to highlight their limitations. Then, we identify the multiple aspects of project complexity thanks to the construction and refinement of a project complexity framework thanks to an international Delphi study. We then propose a multi-criteria approach to project complexity evaluation, underlining the benefits of such an approach. In order to solve properly this multi-criteria problem, we first conduct a critical state of the art on multi-criteria methodologies. We then argue for the use of the Analytic Hierarchy Process. In the end, this tool permits to define a relative project complexity measure, which can notably assist decision-making. Complexity scales and subscales are defined in order to highlight the most complex alternatives and their principal sources of complexity within the set of criteria and sub-criteria which exist in the hierarchical structure. Finally, a case study within a start-up firm in the entertainment industry (musicals production) is performed. Conclusions, limitations and perspectives of research are given in the end.