Over the past two decades, there has been explosive growth in the application of robust
optimization in operations management (robust OM), fueled by both significant advances in …

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 …

Problem definition: We consider an intermediary's problem of dynamically matching demand
and supply of heterogeneous types in a periodic-review fashion. Specifically, there are two …

We study a hybrid strategy that uses both process flexibility and finished goods inventory for
supply chain risk mitigation. The interplay between process flexibility and inventory is …

Motivated by a leading taxi operator in Singapore, we consider the idle vehicle pre‐
allocation problem with uncertain demands and other uncertain covariate information such …

Supply chain engineering models with resilience considerations have been mostly focused
on disruption impact quantification within one analysis layer, such as supply chain design or …

Abstract Academic/Practical Relevance: Our intent is to identify the underlying factors and
develop an order assignment policy that can help an on-demand meal delivery service …

We consider a class of online resource-allocation problems in which there are n types of
resources with limited initial inventory and n demand classes. The resources are flexible in …

We propose a Bayesian framework for assessing the relative strengths of data-driven
ambiguity sets in distributionally robust optimization (DRO) when the underlying distribution …

The growing demand for expedited shipping services from transit-time-sensitive (TTS)
shippers poses a dilemma for ocean carriers, who must navigate the trade-off between …