Quality Performance Evaluation Model of Supply Chain Based on Hybrid Grey Correlation Projection

Abstract

Aiming at the ambiguity and uncertainty in the evaluation of supply chain quality performance, considering the attribute form of quantitative and qualitative fusion, a model of supply chain quality performance evaluation based on hybrid gray correlation projection is proposed. The model uses interval numbers and precision numbers to express quantitative evaluation information, and semantic variables and intuitive fuzzy numbers to express qualitative evaluation information respectively. Based on the generalized weighted distance between each decision alternative and the ideal alternative, a dispersion maximization model is established, and the corresponding attribute weights are solved by constructing the Lagrange relaxation function, and the grey correlation projection method is used to determine the final supply chain quality performance evaluation value. The validity and rationality of the model is proved by an example.