Minimization of Transportation Cost for Decision Making on Covid-19 Vaccines Distribution Across Cities

H. T. Williams (), J. N. Mojekwu and T. D. Ayodele ()
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H. T. Williams: Redeemer’s University
J. N. Mojekwu: University of Lagos
T. D. Ayodele: Redeemer’s University

A chapter in Sustainable Education and Development – Sustainable Industrialization and Innovation, 2023, pp 1180-1189 from Springer

Abstract: Abstract Purpose: The study demonstrates that population statistics and distance between points in kilometers are essential variables in modelling a transportation problem for vaccines distribution. Design/Methodology/Approach: The study adopts Stratified sampling, quantitative research design and a transportation model of linear programming as methodology. 193,500,543 population data and a sample size of 4,705,800 were used to allocates COVAX 3.94 million doses of AstraZeneca/Oxford vaccines across different strata in Nigeria during the early period of COVID-19. Uber standard cost per kilometer and total quantities of vaccines available were used to compute the cost per unit of distributing a vaccine. Findings: The results reconfirmed transportation model as an appropriate model suitable to solve transportation problem and minimizes the cost of distributing vaccines across cities. The results also shows the appropriate allocations of vaccines to demand and supply location at a given cost across each stratum of the population. Research Limitations/Implications: Numerous constraints variables and population stratum. Practical Implication: The quantitative research design used in the transportation model would informed policy holders that accurate statistics and cities topology are essential to minimize budgeted cost for vaccines distributions. Social Implication: The variables used in the study practically tested transportation model on transportation problem. Originality/Value: The originality of the study lies on the population data used, distance in kilometers and the mathematical techniques and assumptions adopted from the field of operations research.

Keywords: Cities; Decision-making distribution; Minimization; Vaccines (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-25998-2_91

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DOI: 10.1007/978-3-031-25998-2_91

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