Amadou Ba, Christopher Lohse, et al.
INFORMS 2022
We study the multi-period inventory replenishment problem for an omnichannel retailer that aims to optimally position inventory across its warehouses and stores to meet its uncertain omnichannel demand that includes walk-ins at stores as well as online demand that can be fulfilled from any location. We present a robust optimization-based heuristic and discuss different variations to solve this problem. Using real-data from a retailer, we perform network-based simulations and compare the impact of this and other typical heuristics on various KPIs of interest.
Amadou Ba, Christopher Lohse, et al.
INFORMS 2022
Archit Patke, Dhemath Reddy, et al.
SoCC 2024
Michiaki Tatsubori, Takao Moriyama, et al.
ICASSP 2022
Ademir Ferreira Da Silva, Levente Klein, et al.
INFORMS 2022