Experience Feedback, From Cases to Knowledge

Béler, Cédrick; Desforges, Xavier

doi:10.3182/20070927-4-ro-3905.00009

Cited by 1 publication

(2 citation statements)

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“…Thus, in our work, the closing sub-process is assimilated to an experience feedback (EF) process (Béler and Desforges, 2007;Kamsu Foguem et al, 2008). Current experiences are capitalized into an experience base.…”

Section: Closing Sub-processmentioning

confidence: 99%

“…This uncertainty is modeled by using intervals where the lower bounds correspond to the nominal values of activities costs and durations and the upper bounds represent their estimated maximum values if undesirable events occur. The estimations of the nominal project activities costs and durations values and the uncertainty is obtained from an expert and by analyzing the project past experiences (Béler and Desforges, 2007).…”

Section: Definition Of An Integrated Project Graphmentioning

confidence: 99%

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A risk-based approach applied to system engineering projects: A new learning based multi-criteria decision support tool based on an Ant Colony Algorithm

Lachhab

Béler

Coudert

2018

Engineering Applications of Artificial Intelligence

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This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 19945 A B S T R A C TThis article proposes a multi-criteria decision support tool fully integrated within system engineering and project management processes that allows decision makers to select an optimal scenario of a project. A model based on an oriented graph includes all the alternative choices of a new system's conception and realization. These choices take into account the risks inherent to perform project tasks in terms of cost and duration. The model of the graph is constructed by considering all the collaborative decisions of the different actors involved in the project. This decision support tool is based on an Ant Colony Algorithm (ACO) for its ability to provide optimal solutions in a reasonable amount of time. The model developed is a multi-objective new ant colony algorithm based on an innovative learning mechanism (named MONACO) that allows ants to learn from their previous choices in order to influence the future ones. The objectives to be minimized are the total cost of the project, its global duration and the risk associated with these criteria. The risk is modeled as an uncertainty related to the increase of the nominal values of cost and duration. The optimization tool is a part of an integrated and more global process, based on industrial standards (the System Engineering process and the Project Management one) that are widely known and used in companies.

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Section: Closing Sub-processmentioning

confidence: 99%

Section: Definition Of An Integrated Project Graphmentioning

confidence: 99%