Outsourcing supplier evaluation method based on hybrid PSO-Adam neural network

Abstract

The invention discloses an outsourcing supplier evaluation method based on hybrid PSO-Adam neural network. The method includes the following steps: establishing outsourcing supplier evaluation data set; the data set being divided into k mutually exclusive subsets of similar size by using the set-aside method. The union of k-1 subsets is used as the training set, and the remaining subset is used asthe test set, so that k groups of training sets and test sets are obtained. Establish neural network, the model structure of neural network includes input layer, hidden layer, output layer; Neural network training, to obtain the neural network model after training; After training the neural network, the outsourcing supplier data set is input to the input layer of the neural network, and the output layer of the neural network is the evaluation score of the outsourcing supplier. The method of the invention can objectively and efficiently carry out outsourcing supplier evaluation decision, reduce reliance on personal experience, reduce supplier evaluation difficulty and reduce supply chain management cost.

Description

technical field [0001] The invention relates to an evaluation technology, in particular to an evaluation method for outsourcing suppliers based on a mixed PSO-Adam neural network. Background technique [0002] With the continuous deepening of emerging technologies such as artificial intelligence, big data, Internet of Things and cloud computing in the manufacturing industry, a new round of industrial revolution with globalization, informatization, intelligence, intelligence and greenization as the development direction has been triggered. The manufacturing environment of enterprises has also undergone fundamental changes. More and more enterprises choose to conduct networked collaborative manufacturing with other enterprises, and hand over some non-core processing requirements to more professional outsourcing suppliers, so as to focus on improving their own core competitiveness. The current complex outsourcing environment provides manufacturing enterprises with more diversi...

AI Technical Summary

Problems solved by technology

The current complex outsourcing environment provides manufacturing enterprises with more diversified outsourcing processing resources. However, the dispersion, diversity, dynamics, and combination of outsourcing processing resources also pose challenges to the evaluation of manufacturing companies' outsourcing suppliers. higher requirements, which makes it difficult for traditional methods to meet the needs of outsourcing supplier evaluation in the current environment

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