Distributionally robust location–allocation models of distribution centers for fresh products with uncertain demands
作者：
Highlights：
• Two DR location–allocation models of DCs for fresh products are raised.
• The distribution information of uncertain demands is only partially known.
• The DR model with ambiguous expectation is transformed into an MILP model.
• The DR model with ambiguous chance constraints is transformed into an MISOCP model.
• A case study shows the feasibility and effectiveness of the proposed DR models.
摘要
•Two DR location–allocation models of DCs for fresh products are raised.•The distribution information of uncertain demands is only partially known.•The DR model with ambiguous expectation is transformed into an MILP model.•The DR model with ambiguous chance constraints is transformed into an MISOCP model.•A case study shows the feasibility and effectiveness of the proposed DR models.
论文关键词：Location–allocation problem,Fresh products,Distributionally robust optimization,Ambiguity set,Linear decision rule,Safe approximation
论文评审过程：Received 25 October 2021, Revised 11 June 2022, Accepted 14 July 2022, Available online 22 July 2022, Version of Record 30 July 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118180
