The evolving COVID-19 epidemic pose significant threats and challenges to emergency
response operations. This paper focuses on designing an emergency logistic network …

We propose two distributionally robust optimization (DRO) models for a mobile facility (MF)
fleet-sizing, routing, and scheduling problem (MFRSP) with time-dependent and random …

We propose a generic model for the capacitated vehicle routing problem (CVRP) under
demand uncertainty. By combining risk measures, satisficing measures, or disutility functions …

Dual-sourcing inventory management, which is aimed at replenishing inventory through two
supply sources, has been extensively incorporated across various industries as it can …

In the globalization era, many manufacturing companies face great uncertainties, as most
components in new product development (NPD) are outsourced to external and internal …

This paper considers a humanitarian supply chain (SC) under uncertain correlated
disruptions of facilities caused by unpredictable disasters. Prepositioned relief items in these …

We study a two‐stage resource pooling problem with multiple resources and customers. The
central decision‐maker decides the capacity level of the resources within a total budget …

This work, the first part (Part A) of a comprehensive study, presents a survey on Robust
Optimization (RO) in inventory management, highlighting its role in addressing uncertainties …

Bilevel programs (BPs) find a wide range of applications in fields such as energy,
transportation, and machine learning. As compared to BPs with continuous (linear/convex) …

Problem definition: How should retailers and sellers distribute inventory across a large
network of (potentially hundreds of) distribution centers? Motivated by the emerging …