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Controlling the progress and performance of a project is pivotal to achieve its planned goals. Schedule and cost are often used to make a baseline for managing projects' progress, but there are always uncertainties in planning and estimating the schedule and cost of projects. Therefore, a contingency reserve is needed to manage uncertainties and risks. In this paper, we present a new cost contingency...
This paper is a contribution to the prognosis of complex systems based expert's knowledge. The aim, is to propose a new probabilistic approach, which allows the exploitation of the expert's knowledge to estimate the damage trajectory for a considered process.
NASA is currently exploring swarm-based technologies, targeting the development of prospective exploration missions to explore regions of space, where single large spacecraft would be impractical. Such systems are envisioned to operate autonomously and their success factor depends highly on self-awareness capabilities. This research emphasizes the development of algorithms and prototyping models for...
The solution to the asset management problem is discussed. The asset management problem is formulated as an optimal control problem under uncertainty that seeks a least cost solution. A methodology for solving the asset management problem is given. The methodology has been applied to several classes of assets. Analysis of uncertainty is essential to asset management. Three fundamental uncertainties...
Accurately estimating the airborne avionics lifespan is the key to determine the optimum maintenance time, access to cost-effective for civil aviation maintenance. Affected by various factors, there usually is large difference between avionics actual service lifespan and OEM designed lifespan. Based on these, this paper provides single factor fusion and integration of multi-factor to estimate avionics...
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