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Decision support framework for facility location and demand planning for humanitarian logistics

Author

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  • Jean-Claude Baraka Munyaka

    (University of Pretoria)

  • Venkata Seshachala Sarma Yadavalli

    (University of Pretoria)

Abstract

This research purpose is to develop a decision-making mechanism capable of enhancing SADC effectiveness and efficiency during regional relief operations. The research was conducted in three phases: phase 1 with the aim of exploring SADC relief supply operations readiness, their available infrastructures as well as the existing coordination between relief agencies and other relevant parties. Phase 2 aims at enhancing the efficiency and the effectiveness of the SADC regional decision-making mechanism during relief operations. Phase 3 finally optimizes the pre-positioned relief supplies and demands in facility locations across SADC by dealing with two key decision factors affecting the region namely the time and the cost. Using a Multi-Criteria decision Making (MCDM) based on its Analytic Hierarchy Process (AHP) approach, the results, under certain assumptions, yielded an insignificant cost-saving between air transportation and marine transportation. However, applying the decision-making scenarios in an Excel linear optimization model, the study has revealed that by increasing the number of cities or countries involved in a particular humanitarian operation, decreases the overall logistical costs including transportation, prepositioned storage, etc. The proposed methodology provides a detailed decision support framework for humanitarian organizations operating in the region. The model adds important value to the literature as the proposed problem has no solution in the literature before.

Suggested Citation

  • Jean-Claude Baraka Munyaka & Venkata Seshachala Sarma Yadavalli, 2021. "Decision support framework for facility location and demand planning for humanitarian logistics," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 9-28, February.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:1:d:10.1007_s13198-020-01037-z
    DOI: 10.1007/s13198-020-01037-z
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    References listed on IDEAS

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    Cited by:

    1. Jean-Claude Baraka Munyaka & Jérôme Chenal & Sizwe Mabaso & Samkele Sikhulile Tfwala & Anil Kumar Mandal, 2024. "Geospatial Tools and Remote Sensing Strategies for Timely Humanitarian Response: A Case Study on Drought Monitoring in Eswatini," Sustainability, MDPI, vol. 16(1), pages 1-21, January.
    2. Jing Liu, 2023. "Application and research of computer aided technology in clothing design driven by emotional elements," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1691-1702, October.
    3. María Fernanda Carnero Quispe & Amanda Silveira Couto & Irineu de Brito Junior & Luiza Ribeiro Alves Cunha & Regiane Máximo Siqueira & Hugo Tsugunobu Yoshida Yoshizaki, 2024. "Humanitarian Logistics Prioritization Models: A Systematic Literature Review," Logistics, MDPI, vol. 8(2), pages 1-20, June.

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