Forecasting supply chain resilience performance using grey prediction

作者：

Highlights：

• An advanced grey prediction model for forecasting resilience performances is proposed.

• Supply chain resilience performance indicators are constructed.

• Periodic performance indicators for flexibility, responsiveness, quality, productivity and accessibility are evaluated.

• Values are simulated and forecasted for future periods with the estimation of error measures.

• Managers are recommended to analyze the predicted values to mend or amend strategic decisions.

摘要

•An advanced grey prediction model for forecasting resilience performances is proposed.•Supply chain resilience performance indicators are constructed.•Periodic performance indicators for flexibility, responsiveness, quality, productivity and accessibility are evaluated.•Values are simulated and forecasted for future periods with the estimation of error measures.•Managers are recommended to analyze the predicted values to mend or amend strategic decisions.

论文关键词：Big data,Grey theory,Grey prediction,Supply chain resilience,Resilience indicators

论文评审过程：Received 21 September 2016, Revised 23 September 2016, Accepted 23 September 2016, Available online 24 September 2016, Version of Record 1 October 2016.

论文官网地址：https://doi.org/10.1016/j.elerap.2016.09.006