A novel gray forecasting model based on the box plot for small manufacturing data sets

作者：

Highlights：

• Small-data-set forecasting problem is difficult for most manufacturing environments.

• A forecasting tool using limited data for engineers and managers is more effective and efficient.

• The proposed method base on the box plot can analyze data features to improve forecasting accuracy with small data sets.

• The proposed method is considered an appropriate procedure in general to forecast manufacturing outputs based on small samples.

摘要

•Small-data-set forecasting problem is difficult for most manufacturing environments.•A forecasting tool using limited data for engineers and managers is more effective and efficient.•The proposed method base on the box plot can analyze data features to improve forecasting accuracy with small data sets.•The proposed method is considered an appropriate procedure in general to forecast manufacturing outputs based on small samples.

论文关键词：Forecasting,Small data set,Gray model

论文评审过程：Received 22 October 2012, Revised 28 April 2015, Accepted 7 May 2015, Available online 31 May 2015, Version of Record 31 May 2015.

论文官网地址：https://doi.org/10.1016/j.amc.2015.05.006