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چکیده
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Full collaboration in supply chains is an ideal that should attempt to achieve. However, a number of factors prevent real progress in this direction. Therefore, there is a need for demand forecasting by the participants in the absence of full information about other participants' demand. Neural network, an emerging technique in Artificial Intelligence (AI) has a strong appeal for a wide range of applications. Seldom has the concept been related directly to Supply Chain management (SCM), it has however been employed in a number of fields which constitute the core elements of supply chains. In this paper, Artificial Neural Networks (ANNs) introduced and then some applications in SCM were examined. Four applications are surveyed where ANNs are used as the problem solving methodology. These applications were namely optimization, forecasting, simulation and decision support. Then, it has discussed about role of DFID in improving use of ANNs applications in SCM. By applying RFID tags to subassemblies in the production process, manufacturers can gain accurate, real-time visibility into work-in-process in environments. As a results, required information for analysis using ANNs is provided which can help to design, planning and better coordination among different echelons of chain. It is concluded about RFID that can be very useful applying ANN as one would have anticipated.
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