ERP Neural Network Inventory Control

چکیده مقاله :
Enterprise Resource Planning (ERP) is a system of integrated applications used to have full insight over the resources of an
enterprise in terms of goods, employees and customers. On the other hand, artificial neural networks are becoming a necessity in
applications that require artificial intelligence. A marriage between these two concepts would yield a system capable of storing
and displaying dashboards of data, and simultaneously make computed expectations that can determine the future plans of an
enterprise. Many have researched different applications in which a neural network can be used in order to achieve such a system.
This paper demonstrates the study and simulation of a system that can give a prediction of the goods needed for an enterprise’s
inventory depending on the past history of this enterprise sale with respect to the events occurring at different time periods. The
system is built using C# and using examples from a real trading cooperation history in the learning process. It was tested using
fictional simulations and produced acceptable results.

توضیحات تکمیلی :

مقاله ISI انگلیسی اصلی
سال انتشار:2017
این مقاله OPEN ACCESS می باشد و به طور رایگان از سایت ساینس دایرکت قابل دانلود است
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 8 صفحه

نویسندگان/توضیحات : مقاله ISI سال انتشار2017 \ Jad Farhata, Michel Owayjana,b*
تاریخ ارسال : 1397/11/04
تعداد بازدید : 346
کلمات کلیدی : ERP; Artificial neural networks; Back-Propgation; Inventory; Decision-making, Big Data, Entity Framework
تعداد صفحات : 8
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