Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
Rule-base coverage analysis applied to test case selection
Annals of Software Engineering
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Agent Oriented Analysis Using Message/UML
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
Context-specific multiagent coordination and planning with factored MDPs
Eighteenth national conference on Artificial intelligence
Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
Artificial intelligence for monitoring and supervisory control of process systems
Engineering Applications of Artificial Intelligence
Using AHP and TOPSIS approaches in customer-driven product design process
Computers in Industry
Modeling for Robotic Soccer Simulation Team Based on UML
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 01
Designing fuzzy-genetic learner model based on multi-agent systems in supply chain management
Expert Systems with Applications: An International Journal
An implementing framework for holonic manufacturing control with multiple robot-vision stations
Engineering Applications of Artificial Intelligence
A multi-agent based agile manufacturing planning and control system
Computers and Industrial Engineering
Agent-based negotiation and decision making for dynamic supply chain formation
Engineering Applications of Artificial Intelligence
Extending process automation systems with multi-agent techniques
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
ASPECS: an agent-oriented software process for engineering complex systems
Autonomous Agents and Multi-Agent Systems
Modeling of raw material mixing process in raw meal grinding installations
WSEAS Transactions on Systems and Control
Intelligence statistical process control in cellular manufacturing based on SVM
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Modeling of cement milling process based on long term industrial data
Proceedings of the 15th WSEAS international conference on Systems
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In cement plant, since all processes are chemical and irreversible, monitoring and control is a critical factor. If the process is not controlled at any stage, the final product can be damaged or lost. Thus, in such environments, considering the quality of the product at each state is essential. Also, to control the process, communication among different parts of production line is essential. The wasted time in production line has a direct effect on process correction time and cement production performance. Here, a model of a new intelligent multi-agent quality control system (IMAQCS) for controlling the quality of cement production processes is suggested. This model, using of rule-based artificial intelligence technique, concentrates on relationship between departments in cement production line to monitor multi-attribute quality factors. With the presence of agents for controlling the quality of cement processes, real-time analyzing and decision making in a fault condition will be provided. In order to validate the proposed model, IMAQCS is deployed in real plants of a cement industries complex in Iran. The ability of the system in the process production environment is assessed. The effectiveness and efficiency of the system are demonstrated by reducing the process correction time and increasing the cement production performance. Finally, this system can effectively impact on factory resources and cost saving.