One effective means to hedge against uncertainty and better match supply with demand in a
swiftly changing environment is to adopt a flexible operations strategy that allows timely …

We study the allocative challenges that governmental and nonprofit organizations face when
tasked with equitable and efficient rationing of a social good among agents whose needs …

The emergence of bike-sharing systems has considerably improved last-and first-mile
transportation systems. To ensure attractiveness to end users, operators aim to design …

We provide the first approximation algorithm for dynamic inventory management on a
network with stochastic demand and backlogging. Specifically, under a mild cost condition …

We consider the allocation of limited resources to heterogeneous customers who arrive in
an online fashion. We would like to allocate the resources" fairly", so that no group of …

We consider a general online stochastic optimization problem with multiple budget
constraints over a horizon of finite time periods. In each time period, a reward function and …

Crowd management during peak commuting hours is a key challenge facing oversaturated
metro systems worldwide, which results in serious safety concerns and uneven service …

Advertising is a crucial revenue source for e-commerce platforms and a vital online
marketing tool for their sellers. In this paper, we explore dynamic ad allocation with limited …

Problem definition: Cash transfer programs (CTPs) have spread in the last decade to help
fight extreme poverty in different parts of the world. A key issue here is to ensure that the …

A key challenge in the resource allocation problem is to find near-optimal policies to serve
different customers with random demands/revenues, using a fixed pool of capacity (properly …