A reliable emergency logistics network for COVID-19 considering the uncertain time-varying demands
J Zhang, DZ Long, Y Li - Transportation Research Part E: Logistics and …, 2023 - Elsevier
The evolving COVID-19 epidemic pose significant threats and challenges to emergency
response operations. This paper focuses on designing an emergency logistic network …
response operations. This paper focuses on designing an emergency logistic network …
Distributionally robust optimization approaches for a stochastic mobile facility fleet sizing, routing, and scheduling problem
KS Shehadeh - Transportation Science, 2023 - pubsonline.informs.org
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 …
fleet-sizing, routing, and scheduling problem (MFRSP) with time-dependent and random …
A unifying framework for the capacitated vehicle routing problem under risk and ambiguity
We propose a generic model for the capacitated vehicle routing problem (CVRP) under
demand uncertainty. By combining risk measures, satisficing measures, or disutility functions …
demand uncertainty. By combining risk measures, satisficing measures, or disutility functions …
Data-driven Wasserstein distributionally robust dual-sourcing inventory model under uncertain demand
YG Kim, B Do Chung - Omega, 2024 - Elsevier
Dual-sourcing inventory management, which is aimed at replenishing inventory through two
supply sources, has been extensively incorporated across various industries as it can …
supply sources, has been extensively incorporated across various industries as it can …
Hedging against demand ambiguity in new product development: a two-stage distributionally robust approach
In the globalization era, many manufacturing companies face great uncertainties, as most
components in new product development (NPD) are outsourced to external and internal …
components in new product development (NPD) are outsourced to external and internal …
Reliable design of humanitarian supply chain under correlated disruptions: a two-stage distributionally robust approach
CJ Wang, LMT Zhong - Annals of Operations Research, 2024 - Springer
This paper considers a humanitarian supply chain (SC) under uncertain correlated
disruptions of facilities caused by unpredictable disasters. Prepositioned relief items in these …
disruptions of facilities caused by unpredictable disasters. Prepositioned relief items in these …
Target‐based resource pooling problem
Z Cui, J Ding, DZ Long, L Zhang - Production and …, 2023 - journals.sagepub.com
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 …
central decision‐maker decides the capacity level of the resources within a total budget …
Robust Optimization Approaches in Inventory Management: Part A-The Survey
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 …
Optimization (RO) in inventory management, highlighting its role in addressing uncertainties …
Learning to Solve Bilevel Programs with Binary Tender
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) …
transportation, and machine learning. As compared to BPs with continuous (linear/convex) …
Distributionally robust multilocation newsvendor at scale: A scenario-based linear programming approach
Problem definition: How should retailers and sellers distribute inventory across a large
network of (potentially hundreds of) distribution centers? Motivated by the emerging …
network of (potentially hundreds of) distribution centers? Motivated by the emerging …