Neural network modeling for a two-stage production process with versatile variables: Predictive analysis for above-average performance
作者：
Highlights：
• A standalone neural network approach to model sequential production processes.
• Salient above-average performance model in a two-stage process.
• Prediction-focused model overcoming shortfalls of DEA.
• Neural network application to the two-stage bank production process.
• Neural network-based performance segmentation and efficiency analysis.
摘要
•A standalone neural network approach to model sequential production processes.•Salient above-average performance model in a two-stage process.•Prediction-focused model overcoming shortfalls of DEA.•Neural network application to the two-stage bank production process.•Neural network-based performance segmentation and efficiency analysis.
论文关键词：Above-average performance,Bank production process,Neural networks,Two-stage production modeling
论文评审过程：Received 20 October 2017, Revised 8 January 2018, Accepted 29 January 2018, Available online 1 February 2018, Version of Record 16 February 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.01.048
