Abstract
Nowadays, as supply chain management becomes more and more important, many companies has realized that establishing enduring cooperation with excellent suppliers plays a great role in the supply chain operation. This paper sets up a supplier evaluation index system and applies BP neural network algorithm to establish supplier evaluation model. After learning and training, it obtains objective scientific evaluation results and determines the target supplier. The example proves that BP neural network is used for enterprise supplier evaluation and selection, and the method is feasible and has strong practicability.
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This work was supported by Education Department Project of Liaoning Province (J2019038)
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Wang, J. (2021). Supplier Evaluation and Selection Based on BP Neural Network. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_90
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DOI: https://doi.org/10.1007/978-3-030-51431-0_90
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