Abstract
Enterprise resource planning (ERP) is the managing business system that allows an enterprise of any organization to utilize a collection of integrated applications to manage its business and automate many back office functions related to technology. The selection itself of a suitable ERP is one of the most important parts in the implementation. This paper attempts to use artificial neural networks to choose an ideal ERP for any enterprise. This paper constructs a three-level BP neural network to analyze the principle and model of a suitable ERP. By using the samples to train and inspect the BP neural network, we conclude that the application of BP neural networks is an effective method to forecast suitable ERP. Thus the purpose of this study is to requite mainly three factors among the many others that influence the choice of a suitable ERP. By using statistics in several investigation-filled samples, we can collect a database for many cases that can in return help us create a model that manages the choice of an ideal ERP for the company and reduces the costs of failure.
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Acknowledgments
This research was supported by the University ABDELMALEK ESSAIDI Faculty of Science, Tetouan Morocco supervised by Mrs. Noura Aknin and Atariuass Hicham.
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Elyacoubi, A., Attariuas, H., Aknin, N. (2018). An Intelligent Model for Enterprise Resource Planning Selection Based on BP Neural Network. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_19
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DOI: https://doi.org/10.1007/978-3-319-74500-8_19
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