Event Details

Mary Kolyaei, PhD candidate from University of Melbourne, will present a seminar to the Management Science Department.

Abstract: We address the replenishment and fulfilment challenges faced by an omnichannel retailer within a capacitated retail network, selling products to a large region across

a multi-period horizon. This horizon is partitioned into cycles, where replenishment occurs at the start of each cycle and fulfilment decisions regarding how much to allocate across sales channels take place in each time period. The problem is formulated as a Markov Decision Process (MDP). To solve the MDP, we propose decomposition-based reinforcement learning methods. Our results reveal that the proposed approach effectively handles high-dimensional, large-scale decision while improving profitability compared to baseline methods.