Modeling, Design and Development of a Multi-agent Decision Support System for the Real-Time Control of the Operating Theaters

Author(s):  
Fatima Taif ◽  
Abedelwahed Namir ◽  
Mohamed Azouazi
Author(s):  
Jiang Wu ◽  
Raynitchka Tzoneva

Multi-agent system architecture for coordination of the real-time control functions in complex industrial systems is presented. The problem which must be solved out is how efficiently to organize the interactions between tasks in order to satisfy the functionality and the time restriction of the system. In order to solve this problem, the treatment of the task interactions is separated from the tasks and is implemented by the proposed multi-agent system. A general three level multi-agent system is introduced to manage the interactions and schedule of tasks. A framework of building of the schedule of the tasks is also presented. Finally, the benefits of the proposed architecture are discussed.


2010 ◽  
Vol 439-440 ◽  
pp. 727-731
Author(s):  
Chun Ping Yan ◽  
Qing Hua Zhou ◽  
Qi Feng Wang ◽  
Fei Liu

The real-time, the consistency and the accuracy of information transmission in cutting process are poor, and it is hard for manufacturing enterprises to enhance the machining efficiency and quality. Consequently, based on the real-time dynamic environment of cutting system and oriented to first-line production and operating workers, a networked optimal decision support system for cutting parameters was constructed; its system structure and function structure were described and its running mode was analyzed likewise. On the basis of research on the normative description of cutting process knowledge, an ontology-based description method of cutting process knowledge was proposed.


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