Time is a key factor in management. Along a project execution, keeping the best completion rates, not too slow and not too fast, is a central objective but such a best rate cannot be suitably anticipated in a precise schedule. It must be determined on the job, on a comparative basis. This paper develops an evaluation system involving the measurement of schedule fitting indicators designed to deal with such conditions. This evaluation system is based on a transformation of the data into probabilities of reaching the frontier of best performances that permits precisely composing measurements on correlated attributes. This feature of the system allows for combining criteria evaluated on elementary and on aggregate levels.
probabilistic composition; fuzzy sets; data envelopment analysis; performance management; multicriteria decision analysis; decision support systems
