A new agent-based model to manage construction project risks - application to the crossroad of Bab El Karmadine at Tlemcen
Authored by Patrick Taillandier, Franck Taillandier, Fethi Hamzaoui, Denys Breysse
Date Published: 2016
DOI: 10.1080/19648189.2015.1134675
Sponsors:
No sponsors listed
Platforms:
GAMA
Model Documentation:
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Abstract
Risk management in a construction project is a key but extremely complex
issue. To answer it, we developed Stochastic Multi-agent simulAtion for
Construction projeCt (SMACC), a simulation tool for construction project
that considers risks. SMACC proposes, using an agent-based model with a
stochastic approach, to assess risk consequences for each project
stakeholder. This dynamic model enables to build indicators, which can
be used as criteria in a decision support process. A former version of
SMACC had some flaws such as a too quantitative approach, a poor
modelling of resources or a high rigidity of the process description.
Furthermore, formally and conceptually, the SMACC model had a weak
structuration of knowledge. An improved version based on an ontology has
been developed, called SMACC2. The paper presents this new version as
well as a real case of application: the building of the crossroad of Bab
El Karmadine at Tlemcen.
Tags
Simulation