A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection
作者：
Highlights：
• Supplier evaluation and selection constitutes a central issue in supply chain management.
• We develop a novel multi-criteria decision model applicable to supplier evaluation processes.
• ANFIS is used to determine the most influential criteria on the suppliers’ performance.
• Multi-layer perceptron is then used to rank the suppliers’ performance based on these criteria.
• A case study is used to illustrate the accuracy of several variants of the model in prediction.
摘要
•Supplier evaluation and selection constitutes a central issue in supply chain management.•We develop a novel multi-criteria decision model applicable to supplier evaluation processes.•ANFIS is used to determine the most influential criteria on the suppliers’ performance.•Multi-layer perceptron is then used to rank the suppliers’ performance based on these criteria.•A case study is used to illustrate the accuracy of several variants of the model in prediction.
论文关键词：Supplier selection,Artificial neural network,Adaptive neuro fuzzy inference system,Criteria selection,Prediction
论文评审过程：Received 11 January 2016, Revised 26 April 2016, Accepted 17 May 2016, Available online 18 May 2016, Version of Record 28 May 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.027
