Decision support framework for facility location and demand planning for humanitarian logistics
- PDF / 1,523,098 Bytes
- 20 Pages / 595.276 x 790.866 pts Page_size
- 26 Downloads / 210 Views
ORIGINAL ARTICLE
Decision support framework for facility location and demand planning for humanitarian logistics Jean-Claude Baraka Munyaka1
•
Venkata Seshachala Sarma Yadavalli1
Received: 8 June 2020 / Revised: 1 September 2020 The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2020
Abstract This research purpose is to develop a decisionmaking 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 decisionmaking 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 decisionmaking 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
& Jean-Claude Baraka Munyaka [email protected] Venkata Seshachala Sarma Yadavalli [email protected] 1
Department of Industrial and Systems Engineering, University of Pretoria, Engineering Building 2, Room 3-9, Pretoria, Gauteng, South Africa
region. The model adds important value to the literature as the proposed problem has no solution in the literature before. Keywords Humanitarian logistics Disaster relief operations Multi-criteria decision making Lean manufacturing Analytic hierarchy process
1 Introduction There have been in recent years a surge in interest by international academic community to the challenges faced by countries in terms of humanitarian logistics (Tatham and Houghton 2011; Kovacs and Spens 2009). Academic research focusing on improving the management of stock levels and the transportation efficiency using mathematical models have emerged from the operations research communities; while other researches have instead relied on the applicability of existing models generated from ‘‘profit based’’ research or the ‘‘military’’ sectors. The use of humanitarian supply chain management in disaster such as drought is proving to be helpful for communities on the pre-disasters planning (Mpita et al. 2016) and
Data Loading...
