| Abstract |
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Industrial Risk analysis becomes one of the major imperatives in several kinds of industries; it is due the complexity of the systems and the expansion of the interactions of physical components, the material and information flux, the information and system management architecture, the effect of methods, machine states and the products quality… we add some other constraints due to our context: decision making from isoarchic organization, intelligent and independent entities (Holons/Agents).
In another hand, the determination of the maintenance policies is the results of an adopted risk analysis methods, deductive or inductive, made in a static manner. We call the analysis as static, because it requires time to judge the efficiency of the decisions. And in each step, the responsible has to collect the data to remake the same analysis after evaluating the last modifications (6 months, 1 year, etc.).
In this paper, we will try to study the modeling of a generic mechanism of risk analysis, by applying a large known method (FMEA), to see the possibility of its automation in an intelligent context using independent machines. This approach can be implemented also in a decision making module of CMMS software to give more efficient results and fluid modifications of the maintenance policies.
We used UML 2.0 to model functional description of the system and for the information flux and the messages exchange between the entities. |
