With advances in technologies, data science techniques, and computing equipment, there
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …

The past few years have witnessed the increasing adoption of drones in various industries
such as logistics, agriculture, military, and telecommunications. This paper considers a short …

Widespread vaccination is the only way to overcome the COVID-19 global crisis. However,
given the vaccine scarcity during the early outbreak of the pandemic, ensuring efficient and …

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 …

We study a distributionally robust version of the classical capacitated facility location
problem with a distributional ambiguity set defined as a Wasserstein ball around an …

Several industries locate a pre-assigned number of facilities in order to determine a
transportation way for optimizing the objective functions simultaneously. The multi-objective …

Facility location decision is strategic: the construction of a new facility is typically costly and
the impact of the decision is long-lasting. Environmental changes, such as population shift …

In this paper, we study a new approach to horizontal collaboration, the so-called coalition
configuration among partnering companies through sharing distribution centers in a network …

In this paper, we examine human resource planning decisions made at firms that sell
contract-based consulting projects. High levels of uncertainty in deals and revenue forecasts …

This work focuses on a broad class of facility location problems in the context of adaptive
robust stochastic optimization under the state-dependent demand uncertainty. The demand …