ArticleAnnals of operations research2022
A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines.
Article in Annals of operations research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Mixed fleet-based two-echelon vehicle routing optimization for cold chain logistics with diverse recharging strategies.PloS one · 2025Article
- Toward a large-batch manufacturing process for silicon-stabilized lipid nanoparticles: A highly customizable RNA delivery platform.Molecular therapy. Methods & clinical development · 2024Article
- Immediate adverse events following immunization (AEFI) in drive-through COVID-19 vaccination campaign in Yogyakarta, Indonesia: A cross-sectional study.The Indian journal of medical research · 2024Article
- Internet of Things (IoT)-enabled framework for a sustainable Vaccine cold chain management system.Heliyon · 2024Review
- Research on urban path selection of construction vehicles based on bi-objective optimization.PloS one · 2022Article
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Authors and funding
2 authors.
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Abstract
The COVID-19 pandemic has become a global health and humanitarian crisis that catastrophically affects many industries. To control the disease spread and restore normal lives, mass vaccination is considered the most effective way. However, the sustainable last-mile cold chain logistics operations of COVID-19 vaccines is a complex short-term planning problem that faces many practical challenges, e.g., low-temperature storage and transportation, supply uncertainty at the early stage, etc. To tackle these challenges, a two-stage decision-support approach is proposed in this paper, which integrates both route optimization and advanced simulation to improve the sustainable performance of last-mile vaccine cold chain logistics operations. Through a real-world case study in Norway during December 2020 and March 2021, the analytical results revealed that the logistics network structure, fleet size, and the composition of heterogeneous vehicles might yield significant impacts on the service level, transportation cost, and CO
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