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Title:
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DECISION SUPPORT IN DETERMINING OF REPAIR ACTIONS USING FUZZY LOGIC AND AGENT SYSTEM |
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Author(s):
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Maxim V. Denisov, Alexey V. Kizim, Valery A. Kamaev, Svetlana V. Davydova |
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ISBN:
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978-989-8704-10-8 |
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Editors:
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Ajith P. Abraham, Antonio Palma dos Reis and Jörg Roth |
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Year:
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2014 |
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Edition:
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Single |
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Keywords:
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Program System, Industrial Equipment, Maintenance and Repair, Knowledge Model and Representation, Fuzzy Logic, Fuzzy Neural Network, Intelligent Agents, Mu |
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Type:
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Short Paper |
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First Page:
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217 |
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Last Page:
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221 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The paper describes the structure of a decision support for the industrial equipment maintenance and repair (MR) process based on multi-agent systems and fuzzy logic based on neural networks. The solutions of agent system`s basic subsystems and interaction mechanisms are described. The stages of the maintenance and repair organization continuous improvement process are described. The multi-agent system model was developed and examined on example of road equipment repair. Obtained results are allows to perform the equipment maintenance and repair much better. |
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