Covid 19 vaccine order allocation: an optimization model with substitution
Journal of Humanitarian Logistics and Supply Chain Management
; 13(2):125-139, 2023.
Artigo
em Inglês
| ProQuest Central | ID: covidwho-2303126
ABSTRACT
PurposeThis paper focuses on multi-objective order allocation with product substitution for the vaccine supply chain under uncertainty.Design/methodology/approachThe weighted-sum minimization approach is used to find a compromised solution between three objectives of minimizing inefficiently vaccinated people, postponed vaccinations, and purchasing costs. A mixed-integer formulation with substitution quantities is proposed, subject to capacity and demand constraints. The substitution ratios between vaccines are assumed to be exogenous. Besides, uncertainty in supplier reliability is formulated using optimistic, most likely, and pessimistic scenarios in the proposed optimization model.FindingsCovid-19 vaccine supply chain process is studied for one government and three vaccine suppliers as an illustrative example. The results provide essential insights for the governments to have proper vaccine allocation and support governments to manage the Covid-19 pandemic.Originality/valueThis paper considers the minimization of postponement in vaccination plans and inefficient vaccination and purchasing costs for order allocation among different vaccine types. To the best of the authors' knowledge, there is no study in the literature on order allocation of vaccine types with substitution. The analytical hierarchy process structure of the Covid-19 pandemic also contributes to the literature.
Social Services And Welfare; Order allocation; Covid-19 vaccine; Demand substitution; Mixed integer programming; Vaccine supply chain; Mathematical programming; COVID-19 vaccines; Plasma; Integer programming; Network management systems; Costs; Humanitarianism; Pandemics; Optimization; Society; Decision making; Supply chains; Earthquakes; Logistics; Coronaviruses; Herd immunity; Suppliers; Disease transmission; 42421:Drugs and Druggists' Sundries Merchant Wholesalers
Texto completo:
Disponível
Coleções:
Bases de dados de organismos internacionais
Base de dados:
ProQuest Central
Tópicos:
Vacinas
Idioma:
Inglês
Revista:
Journal of Humanitarian Logistics and Supply Chain Management
Ano de publicação:
2023
Tipo de documento:
Artigo
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