Title
A risk-based approach applied to system engineering projects: A new learning based multi-criteria decision support tool based on an Ant Colony Algorithm.
Abstract
This 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.
Year
DOI
Venue
2018
10.1016/j.engappai.2018.04.001
Engineering Applications of Artificial Intelligence
Keywords
Field
DocType
Project management,System engineering,Uncertainty,Risk,MONACO,Decision support,Learning
Ant colony optimization algorithms,Graph,Project management process,Risk-based testing,Systems engineering,Computer science,Decision support system,Total cost,Project management,Real versus nominal value
Journal
Volume
Issue
ISSN
72
C
0952-1976
Citations 
PageRank 
References 
1
0.35
13
Authors
3
Name
Order
Citations
PageRank
Majda Lachhab110.35
Cédrick Béler231.73
Thierry Coudert3277.91