اندازه گیری پیچیدگی پروژه با استفاده از فرآیند تحلیل سلسله مراتبی

Project complexity is ever growing and needs to be understood 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. A synthesised literature review on existing complexity measures is proposed in order to highlight their limitations. Then, we identify the multiple aspects of project complexity. We then propose a multi-criteria approach to project complexity evaluation, through the use of the Analytic Hierarchy Process. In the end, it permits to define a relative project complexity measure. 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 is performed. Conclusions and research perspectives are given in the end.

A project is a temporary and unique endeavour undertaken to deliver a result. This result is always a change in the organization, whatever it is in its processes, performance, products or services. This transformationconsists then inagapbetweena start anda final state. Time and resources are consumed to produce results, which may be deliverables and/or performance improvement and/or resource improvement (skills and knowledge). Each project is unique because there is always at least one of the following parameters that changes: targets, resources and environment. This makesmaking project management an even more complex process. For all practical purposes, lots of studies have been done, based on statistical calculations or surveys. Limits and lacks have been detected in research as well as in industry about the project predictability. Namely, usual parameters (time, cost and quality) are clearly not sufficient to describe properly the complete situation at a given time

Reliable, since the final users are confident with the results, measures and scales which are proposed. During the case study, no numerical result was ever challenged by the participants of the case study. Moreover, no other complexity factor was suggested by the participants even though they had the opportunity to do so. On the contrary, the results permitted to identify more precisely project complexity sources which were consciously or unconsciously felt without being clearly mentioned or stated