Optimization of ATM cash replenishment with group-demand forecasts

作者：

Highlights：

• We decide on the time intervals between two replenishments first.

• We make the forecasts for time intervals.

• We propose grouping ATMs into nearby-location clusters, to improve forecast accuracy.

• Group forecast results are loaded to the ATMs.

• Example studies show that the proposed framework result in lower costs.

摘要

•We decide on the time intervals between two replenishments first.•We make the forecasts for time intervals.•We propose grouping ATMs into nearby-location clusters, to improve forecast accuracy.•Group forecast results are loaded to the ATMs.•Example studies show that the proposed framework result in lower costs.

论文关键词：Aggregation,Information based optimization,Model quality improvement,Logistics scheduling

论文评审过程：Available online 23 December 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.011