A data-driven approach to adaptive synchronization of demand and supply in omni-channel retail supply chains

作者：

Highlights：

• Data-driven approach combines machine learning forecasting and operational planning simulation-based optimization.

• Synchronization of demand and supply in omni-channel retail supply chains.

• Approach application mitigated backorders and lowered operational costs.

摘要

•Data-driven approach combines machine learning forecasting and operational planning simulation-based optimization.•Synchronization of demand and supply in omni-channel retail supply chains.•Approach application mitigated backorders and lowered operational costs.

论文关键词：Simulation-based optimization,Machine learning,Omni-channel retail supply chains,Data-driven

论文评审过程：Received 15 February 2020, Revised 27 May 2020, Accepted 28 May 2020, Available online 15 June 2020, Version of Record 5 February 2021.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2020.102165