A two-stage chance constrained stochastic programming model for emergency supply distribution considering dynamic uncertainty

L Meng, X Wang, J He, C Han, S Hu - Transportation Research Part E …, 2023 - Elsevier
This paper presents a comprehensive approach to addressing the challenges of designing a
reliable emergency logistics network under the dynamic uncertainty of natural disasters. The …

An extended MARCOS approach and generalized Dombi aggregation operators-based group decision-making for emergency logistics suppliers selection utilizing q …

Y Rong, L Yu - Granular Computing, 2024 - Springer
The evaluation and selection of emergency logistics suppliers (ELSs) is of great significance
for improving the disaster relief material reserve system and enhancing the efficient …

Data-driven collaborative healthcare resource allocation in pandemics

J Jiang, D Sheng, X Chen, Q Tian, F Li… - … Research Part E: Logistics …, 2024 - Elsevier
Severe shortages of healthcare resources are major challenges in pandemics, especially in
their early stages. To improve emergency management efficiency, this paper proposes a …

Multi-period distributionally robust emergency medical service location model with customized ambiguity sets

Z Wu, H Jiang, X Liang, Y Zhou - Transportation Research Part E: Logistics …, 2024 - Elsevier
Considering the dynamic and stochasticity of demand for emergency medical service, this
paper proposes two multi-period distributionally robust optimization models with first-order …

Distributionally robust optimization for collaborative emergency response network design

Y Li, Y Liu - Transportation Research Part E: Logistics and …, 2023 - Elsevier
The post-disaster emergency response capacity of a single country is limited, and a
collaborative approach that pools emergency resources can improve disaster resilience. In …

Data-driven modeling for designing a sustainable and efficient vaccine supply chain: A COVID-19 case study

B Kargar, P MohajerAnsari, İE Büyüktahtakın… - … Research Part E …, 2024 - Elsevier
We present an agent-based simulation-optimization modeling framework to determine the
optimal location of warehouses for the distribution of vaccines. We first extend an agent …

A data-driven approach to urban charging facility expansion based on bi-level optimization: A case study in a Chinese city

J Cao, Y Han, N Pan, J Zhang, J Yang - Energy, 2024 - Elsevier
This paper addresses the optimization of urban charging facilities expansion in response to
the growing charging demand and proposes a data-driven bi-level optimization framework …

Post-Earthquake Emergency Logistics Location-Routing Optimization Considering Vehicle Three-Dimensional Loading Constraints

X Pu, X Zhao - Symmetry, 2024 - search.proquest.com
An efficient humanitarian emergency logistics network is vital in responding to earthquake
disasters. However, the asymmetric information inherent in the location and distribution …

Vehicle routing problem for cold-chain drug distribution with epidemic spread situation

J Zhang, Y Li - Expert Systems with Applications, 2025 - Elsevier
We investigate a vehicle routing problem considering the influence of epidemic spread (VRP-
ES) for the design of a novel cold-chain drug distribution system, in which the disease …

A multi-objective optimization approach for resource allocation and transportation planning in institutional quarantine centres

S Biswas, P Belamkar, D Sarma, EB Tirkolaee… - Annals of Operations …, 2024 - Springer
The COVID-19 pandemic has profoundly impacted global logistics and supply chains,
resulting in widespread disruptions due to outbreaks, labour shortages, and geopolitical …