چکیده:
It is difficult to prevent accidents in the transport of hazardous goods, so the
development of strategies for managing crisis situations and the optimization
of action plans are important. The crisis situation is a continuous event in time
when its evolution is unpredictable because it depends on a whole of complex
factors resulting from the environment of the crisis. Decision making in crisis
situation is complicated because it depends on a set of distributed actors in the
environment where each one with its own perception of the problem. The
continuous evolution of a crisis situation and the need of cooperation between
the actors make the optimal decision making difficult. The aim of this work is
the development of decision support system “DSS” to assist actors in crisis
situation in order to anticipate the evolution of an incident and to determine
the effectiveness of strategies used and the allocated material. The proposed
DSS is based on a multi-agent system “MAS” used for the reproduction of
collective and multi-actor decision-making scenarios. Our system receives
accident’s alerts from GOST 1“platform for tracking hazardous material
containers in real time”. This paper presents the proposed model for managing
the risk of transporting hazardous goods
خلاصه ماشینی:
MULTI-AGENT FRAMEWORK FOR HAZARDOUS GOODS TRANSPORT RISK MANAGEMENT M, Najib University of Le Havre, France J.
E. Fazziki Cadi Ayyad university, Morocco ABSTRACT It is difficult to prevent accidents in the transport of hazardous goods, so the development of strategies for managing crisis situations and the optimization of action plans are important.
The aim of this work is the development of decision support system “DSS” to assist actors in crisis situation in order to anticipate the evolution of an incident and to determine the effectiveness of strategies used and the allocated material.
The occurrence of accidents involving transport of hazardous materials generates unpredictable serious consequences requiring effective interventions forced by time.
The aim of this work is to design DSS based on a MAS to assist experts in decision making in crisis situations caused by an accident of HMT.
Overall architecture of the system The proposed decision support system to assist stakeholders in crisis consists of the following tools: • GOST platform • Geographic information system • Case base • Multi-agent system • Knowledge base.
Cheeseboard diagram with the change of role by group's leaders (View the image of this page) Case based reasoning CBR In crisis, decision making in the shortest time is vital, in this system we use a CBR which is reasoning by analogy.
The implementation of this system will allow actors of intervention centers in crisis to have a tool that will provide proved information for each type of hazardous material and also propose an action plan to improve team effectiveness response to the mastery of a crisis situation.