Cluster-based hierarchical demand forecasting for perishable goods

作者：

Highlights：

• Cluster analysis of articles based on intra-day sales pattern.

• Exploiting of article clusters and organizational structure for demand forecasting.

• DSS for ordering fast-moving substitutable perishable goods.

• Evaluation based on real data of an industrialized bakery.

摘要

•Cluster analysis of articles based on intra-day sales pattern.•Exploiting of article clusters and organizational structure for demand forecasting.•DSS for ordering fast-moving substitutable perishable goods.•Evaluation based on real data of an industrialized bakery.

论文关键词：Predictive analytics,Decision support,Perishable fresh food,Hierarchical demand forecasting,Cluster analysis

论文评审过程：Received 12 August 2016, Revised 23 January 2017, Accepted 24 January 2017, Available online 28 January 2017, Version of Record 10 February 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.01.022