LogForum Logo
Scopus Logo
Webofsc Logo

ISSN 1895-2038, e-ISSN:1734-459X

Choose language
Issues
Guide for Authors
For Reviewers
Journal metrics
Indexed in:

Creative Commons licence CC BYLogforum. 2024. 20(1), article 8, 97-116; DOI: https://doi.org/10.17270/J.LOG.000948

ENHANCING VACCINE DISTRIBUTION EFFICIENCY IN SRI LANKA'S COLD CHAIN THROUGH UNMANNED AERIAL SYSTEMS: A DISTRICT-BASED APPROACH

Kalani Gunaratne1, Buddhi Weerasinghe2, Izabela Nielsen3, Grzegorz Bocewicz4, Amila Thibbotuwawa2, Zbigniew Banaszak4

1Department of Transport Management and Logistics Engineering, University of Moratuwa, Sri Lanka
2
Center for Supply Chain, Operations and Logistics Optimization, University of Moratuwa, Sri Lanka 3Department of Materials and Production, Aalborg University, Denmark 4Faculty Electronics and Computer Science, Koszalin University of Technology, Poland

Abstract:

Background: With their high speed and low response time, unmanned aerial vehicles (UAVs) have been suggested as a solution to overcome the systematic inefficiencies in the current vaccine cold chain of Sri Lanka. The implementation of unmanned aerial systems (UASs) at the district level is recommended to maintain the end-to-end effectiveness of the program. Under the suggested distribution network, vaccines are transported directly from the Regional Medical Supplies Division (RMSD) warehouse to the respective health facilities, bypassing the Medical Officer of Health (MOH) unit warehouse. However, the use of UAVs is not appropriate in every RMSD due to the high fixed cost of a UAS.

Methods: To determine an appropriate division, a suitability analysis was conducted by intersecting eight factors with their weights of importance. Suitable factors were determined using previous literature and weights of importance were calculated by an expert survey.

Results: From the analysis, it was determined that the Kurunegala division is the most appropriate for UAV implementation. Therefore, Kurunegala is recommended as a starting point for the implementation of the proposed UAV-inclusive delivery system in Sri Lanka to realize its potential benefits and practical implications. Furthermore, it was found that a uniform solution involving only UAVs offers greater advantages compared to a mixed solution involving both trucks and UAVs. Nonetheless, owing to limited technological expertise and resistance to change in low-income nations, it is advisable to begin with a mixed approach and gradually transition to a uniform strategy in the coming years.

Conclusions: The newly developed random search algorithm for the cyclic delivery synchronization problem gives results that are close to those obtained with mixed-integer programming. The main advantage of the algorithm is the reduction in computing time, which is relevant to the utilization of this method in practice, especially for larger problems.

 

Keywords: Vaccine delivery; Cold chain; Last Mile Delivery; UAV; Vehicle routing problem
Full text available in in english in format:
artykuł nr 8 - pdfAdobe Acrobat
For citation:

MLA Gunaratne, Kalani, et al. "Enhancing Vaccine Distribution Efficiency In Sri Lanka's Cold Chain Through Unmanned Aerial Systems: A District-Based Approach." Logforum 20.1 (2024): 8. DOI: https://doi.org/10.17270/J.LOG.000948
APA Kalani Gunaratne, Buddhi Weerasinghe, Izabela Nielsen, Grzegorz Bocewicz, Amila Thibbotuwawa, Zbigniew Banaszak (2024). Enhancing Vaccine Distribution Efficiency In Sri Lanka's Cold Chain Through Unmanned Aerial Systems: A District-Based Approach. Logforum 20 (1), 8. DOI: https://doi.org/10.17270/J.LOG.000948
ISO 690 GUNARATNE, Kalani, et al. Enhancing Vaccine Distribution Efficiency In Sri Lanka's Cold Chain Through Unmanned Aerial Systems: A District-Based Approach. Logforum, 2024, 20.1: 8. DOI: https://doi.org/10.17270/J.LOG.000948