Performance optimization of integrated resilience engineering and lean production principles

作者：

Highlights：

• Performance optimization of integrated resilience engineering and lean production.

• An intelligent algorithm based ANN, DEA and statistical methods.

• Previous studies neglected the combined impacts of both factors.

• Data envelopment analysis is used for validation of results.

• Considers a real-world pipe manufacturer as case study.

摘要

•Performance optimization of integrated resilience engineering and lean production.•An intelligent algorithm based ANN, DEA and statistical methods.•Previous studies neglected the combined impacts of both factors.•Data envelopment analysis is used for validation of results.•Considers a real-world pipe manufacturer as case study.

论文关键词：Integrated resilience engineering (IRE),Lean production,Artificial neural networks (ANNs),Adaptive neuro-fuzzy inference system (ANFIS),Data envelopment analysis (DEA)

论文评审过程：Received 7 November 2016, Revised 23 March 2017, Accepted 5 May 2017, Available online 5 May 2017, Version of Record 11 May 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.012