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        An Inventory Management System Based on Intelligent Agents

        Chul-whoi Her,Hwan-mook Chung 한국지능시스템학회 2001 한국지능시스템학회논문지 Vol.11 No.7

        An inventory management system of manufacturing industry has a model of different kinds according to the objective and the situation. An inventory management system needs superior system technique in demand forecast, economical efficiency, reliability and application for stable supply of the finished goods, the raw materials and the parts. This paper proposes a demand forecast method based on fuzzy structured neural network, which uses min-operation and trapezoid membership function of fuzzy rules, So we can construct an intelligent inventory management system that make optimized decision-making for forecasting data with expert's opinion in fuzzy environment The inventory management system uses intelligence agent and it could be adapted to a system environment change in order.

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        An Inventory Management System Based on Intelligent Agents

        Her, Chul-whoi,Chung, Hwan-mook Korean Institute of Intelligent Systems 2001 한국지능시스템학회논문지 Vol.11 No.7

        An inventory management system of manufacturing industry has a model of different kinds according to the objective and the situation. An inventory management system needs superior system technique in demand forecast, economical efficiency, reliability and application for stable supply of the finished goods, the raw materials and the parts. This paper proposes a demand forecast method based on fuzzy structured neural network, which uses min-operation and trapezoid membership function of fuzzy rules. So we can construct an intelligent inventory management system that make optimized decision-making for forecasting data with expert s opinion in fuzzy environment. The inventory management system uses intelligence agent and it could be adapted to a system environment change in order.

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