IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

Submit Research Paper
ISSN: 3108-1762 (Online)
webp (1)

By /
Plagiarism Passed
Peer reviewed
Open Access

VACCINE DISTRIBUTION OPTIMISATION USING VAM AND MODI — OR LITERATURE STUDY

AUTHORS:
Mehaan Nayak
Nayana Mohanty
Nathan Da Silva
Mahieka Gidwani
Marc Tennyson
Mentor
Affiliation
INDEPENDENT RESEARCHER
DOI: 10.55041/ijsmt.v2i10.052
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
DOWNLOAD ARTICLE REVIEW REPORT CITE THIS ARTICLE
Abstract
This study examines five published research papers on vaccine logistics and delivery in which Operations Research (OR) techniques are applied to real problems. The main topic is vaccine distribution optimisation: the least-cost movement of vaccine from sources to destinations, viewed through the transportation model and its two classic steps, an initial feasible solution (Vogel's Approximation Method, VAM) and an optimality test (MODI). The literature is then used to analyse, in detail, one published vaccine transshipment case and to show how its solution is checked for optimality. The focus is practical: vaccines are perishable, they need an unbroken cold chain, budgets are tight and volumes are huge. Guessing wastes doses; a model proves the best plan and shows the cost of every limit
Keywords
Article Information
PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 10
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Oct 12 2026
Article Metrics
Article Views
51
PDF Downloads
0
HOW TO CITE
APA

MLA

Chicago

Copy

Nayak, M., Mohanty, N., Silva, N. D., Gidwani, M. & Tennyson, M. (2026). Vaccine Distribution Optimisation using VAM and MODI — OR Literature Study. International Journal of Science, Strategic Management and Technology, 02(10), 1-9. https://doi.org/10.55041/ijsmt.v2i10.052

Nayak, Mehaan, et al.. "Vaccine Distribution Optimisation using VAM and MODI — OR Literature Study." International Journal of Science, Strategic Management and Technology, vol. 02, no. 10, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijsmt.v2i10.052.

Nayak, Mehaan,Nayana Mohanty,Nathan Silva,Mahieka Gidwani, and Marc Tennyson. "Vaccine Distribution Optimisation using VAM and MODI — OR Literature Study." International Journal of Science, Strategic Management and Technology 02, no. 10 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijsmt.v2i10.052.

References

  1. Georgiadis, G. P., & Georgiadis, M. C. (2021). Optimal planning of the COVID-19 vaccine supply chain. Vaccine, 39, 5302–5312. https://doi.org/10.1016/j.vaccine.2021.07.068

  2. Lin, H.-L., Ma, Y.-Y., & Lin, C.-T. (2023). An evaluation system for COVID-19 vaccine transportation quality based on fuzzy analytic hierarchy process. Mathematics, 11(18), 3914. https://doi.org/10.3390/math11183914

  3. Pasaribu, M., Helmi, Pajriah, D., & Lestari, D. I. (2025). Applied modified exponential approach method to determine the optimal solution. BAREKENG: Journal of Mathematics and Its Applications, 19(1), 87–96. https://doi.org/10.30598/barekengvol19iss1pp0087-0096

  4. Scott, G. Y., Aborode, A. T., Adesola, R. O., et al. (2025). Enhancing vaccine quality and accessibility: Strategies for efficient storage and distribution in resource-constrained environment. Outbreak Management and Response, 1(1), 2443439. https://doi.org/10.1080/29947677.2024.2443439

  5. Vásconez, J. P., Schotborgh, E., Vásconez, I. N., Moya, V., Pilco, A., Menéndez, O., Guamán-Rivera, R., & Guevara, L. (2024). Smart delivery assignment through machine learning and the Hungarian algorithm. Smart Cities, 7(3), 1109–1125. https://doi.org/10.3390/smartcities7030047

Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
Indexed In
Similar Articles
Physicochemical Status of Coastal Soil and Groundwater and its Socio- Economic Impact: A Case Study of Sankarpur, Chandpur, and Tajpur
string(22) "Mintu Jana, Taniya Roy" Roy, M. J. T.
(2026)
DOI: 10.55041/ijsmt.v2i3.026
Hospital Management System
string(18) "Shreyobhilasha K R" R, S. K.
(2026)
DOI: 10.55041/ijsmt.v2i8.049
Mind Focus AI: A Real-Time Adaptive Framework for Student Wellness And Cognitive Focus Optimization in Digital Learning Environments
string(8) "Sreaya S" S, S.
(2026)
DOI: 10.55041/ijsmt.v2i3.089
Back to Volume 02, Issue 10
Scroll to Top