The purpose of this research is to propose a methodology for the improvement of the estimate of the end of one Project. This methodology allows to design curves that define the control limits among which the S–Curve can be found. If these limits are surpassed, this would mean a distortion in the registry of the progress measured by the S–Curve, and therefore a distortion in the Project End Forecast.
This research takes a different path from the traditional progress measurement methodology based on man-hours (m-h). On the contrary, this research analyzes the Project based on deliverables quantification and totally leaves out the m-h variable, therefore, the methods derived there from, such as the Earned Value. However, the results obtained are control limits applicable both to the S–curve and to related estimates.
These limits are actually a way of looking at what we will call Deliverables Release Curve, DRC.
Different to the S–Curve that measures all the contributory and productive activities related to construction, in other cases it identifies groups of deliverables, the DRC relates Project deliverables – in a level which is different to the typical one – with productive activities related to the conclusion of the process or sub process; this is also known as validation. The way in which we can identify and quantify this validation is through the tests that “release” the deliverables through the Project development. That is, this release is not part of the final stage of the Project, as the traditional scheme proposes but it carried out in a constant manner until the end of the Project.
The DRC and its derived curves (control limits) do not measure progress and, therefore, can not replace the S-Curve, on the contrary, they supply the balance of deliverables release, and eventually, the condition of the Project End. They can be used, as it will be shown, as tools for the auditing of the measurements that build up the S -Curve.
One of the advantages of this methodology is that it allows determining the start of the S-Curve distortion. An “up” distortion which generates what we sometimes call the “90% syndrome”. That is, before reaching 90% the progress of the S – curve follows a series of percentage units larger that 1%, thus, we can have progresses of 5%, 4%, 3%, 4%, 3%, etc. After 90% and inside the “syndrome” the percentage series that determine the progress is smaller to one percentage unit and it starts decreasing, that is 0.8%, 0.75%, 0.7%, 0.5%, etc. The addition of the percentage units that are reported in the syndrome zone, finally make the Project reach 100%. Nevertheless, during this long period, the contractual Project closeout is exceeded, fixed costs increased and contractual penalties are incurred in. In this level the S–Curve is no longer useful to infer the date of Project End given the cumulative effect that distortion causes on it.
In the methodology presented we determine the origin of this syndrome, its date and percentile origin. It is not necessary to start with the series of percentage progress below 1% to think that such syndrome has begun, but it could start earlier.
The curves that we will present use the variables that, after their individual analysis, provide information of Project development; unfortunately this information is usually unnoticed. All the same, the methodology to obtain and use the variables allows “Real-Time” control of the values of the above mentioned curve limits. This characteristic is another advantage for the traditional Project Control, which generally is analyzed on a weekly basis regarding progress control and on a monthly basis regarding cost control. This fact limits the corrective and preventive actions to the traditional Project Control processing time.
Thus, we present the Deliverables Release Curve as a complement of the S-Curve for the estimate of the Project End. The DRC is therefore a new practical application tool for the analysis of Projects regarding the release of deliverables in Construction Projects.
Deliverable Release Curve is licensed under a Creative Commons Reconocimiento-No comercial-Sin obras derivadas 3.0 Estados Unidos License.
Deliverable Release Curve is licensed under a Creative Commons Reconocimiento-No comercial-Sin obras derivadas 2.5 Perú License.









