ArticleVaccine2021
Optimal planning of the COVID-19 vaccine supply chain.
Article in Vaccine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 77 citations in OpenAlex.
- Developing an intuitive decision support system for equitable vaccine distribution during pandemics.Scientific reports · 2025Article
- Design of logistics indicators for monitoring the COVID-19 vaccination process in Colombia : Logistic indicators for vaccination process.BMC health services research · 2024Article
- An integrated blockchain-enabled multi-channel vaccine supply chain network under hybrid uncertainties.Scientific reports · 2024Article
- Optimization Modeling for Pandemic Vaccine Supply Chain Management: A Review and Future Research Opportunities.Naval research logistics · 2024Article
- Strategic Planning of a Joint SARS-CoV-2 and Influenza Vaccination Campaign in the UK.Vaccines · 2024Article
- Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints.Omega · 2023Article
- A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply.Omega · 2023Article
- An optimal control model for Covid-19 spread with impacts of vaccination and facemask.Heliyon · 2023Article
- Vaccine distribution with drones for less developed countries: A case study in Vanuatu.Vaccine: X · 2023Article
- Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic.Expert systems with applications · 2023Article
- A decision support system for scheduling a vaccination campaign during a pandemic emergency: The COVID-19 case.Computers & industrial engineering · 2023Article
- Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning.Journal of business research · 2023Article
- Design of control strategies to help prevent the spread of COVID-19 pandemic.European journal of operational research · 2023Article
- Intranasal SARS-CoV-2 spike-based immunisation adjuvanted with polyethyleneimine elicits mucosal and systemic humoral responses in mice.Journal of immunological methods · 2022Article
- Designing a sustainable reverse supply chain network for COVID-19 vaccine waste under uncertainty.Computers & industrial engineering · 2022Article
- Modeling a sustainable vaccine supply chain for a healthcare system.Journal of cleaner production · 2022Article
- Current clinical status of new COVID-19 vaccines and immunotherapy.Environmental science and pollution research international · 2022Review
- Data analytics during pandemics: a transportation and location planning perspective.Annals of operations research · 2022Article
- Article
- Simulating a Hockey Hub COVID-19 Mass Vaccination Facility.Healthcare (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work presents a novel framework to simultaneously address the optimal planning of COVID-19 vaccine supply chains and the optimal planning of daily vaccinations in the available vaccination centres. A new mixed integer linear programming (MILP) model is developed to generate optimal decisions regarding the transferred quantities between locations, the inventory profiles of central hubs and vaccination centres and the daily vaccination plans in the vaccination centres of the supply chain network. Specific COVID-19 characteristics, such as special cold storage technologies, limited shelf-life of mRNA vaccines in refrigerated conditions and demanding vaccination targets under extreme time pressure, are aptly modelled. The goal of the model is the minimization of total costs, including storage and transportation costs, costs related to fleet and staff requirements, as well as, indirect costs imposed by wasted doses. A two-step decomposition strategy based on a divide-and-conquer and an aggregation approach is proposed for the solution of large-scale problems. The applicability and efficiency of the proposed optimization-based framework is illustrated on a study case that simulates the Greek nationwide vaccination program. Finally, a rolling horizon technique is employed to reactively deal with possible disturbances in the vaccination plans. The proposed mathematical framework facilitates the decision-making process in COVID-19 vaccine supply chains into minimizing the underlying costs and the number of doses lost. As a result, the efficiency of the distribution network is improved, thus assisting the mass vaccination campaigns against COVID-19.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.