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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 …