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The pre-positioning of warehouses at regional and local levels for a humanitarian relief organisation

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  • Roh, Saeyeon
  • Pettit, Stephen
  • Harris, Irina
  • Beresford, Anthony

Abstract

Using pre-positioned warehouses at strategic locations around the world is an approach commonly taken by some humanitarian relief organisations to improve their capacities to deliver sufficient relief aid within a relatively short time frame, and to provide shelter and assistance to disaster victims. Although research into the facility location problem is extensive in both theory and application, such approaches have received little attention from the humanitarian relief perspective. In this paper we consider the pre-positioning of warehouses for humanitarian relief organisations from both macro- (which country, which region) and micro-(the immediate locality) perspectives, and analyse the managerial implications of those decisions. In case study A, managerial level officers were interviewed in order to obtain data for an analysis of the positioning of warehouses at a regional level. Case study B identifies a specific location in the Dubai area where stakeholders from different organisations participated in both discussions and interviews. Through the use of the Analytic Hierarchy Process, the relative importance of individual criteria was determined. The fuzzy-TOPSIS method was used to obtain the final ranking of locations where linguistic values handle the vagueness and subjectivity of decisions. The contribution of this work is as follows: useful managerial insights and implications related to the pre-positioning of warehouses at both macro- and micro-levels are provided; further, a range of possible locations for a humanitarian relief organization, using a robust multicriteria decision making framework, is proposed.

Suggested Citation

  • Roh, Saeyeon & Pettit, Stephen & Harris, Irina & Beresford, Anthony, 2015. "The pre-positioning of warehouses at regional and local levels for a humanitarian relief organisation," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 616-628.
    • Handle: RePEc:eee:proeco:v:170:y:2015:i:pb:p:616-628
    DOI: 10.1016/j.ijpe.2015.01.015
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    4. Sabbaghtorkan, Monir & Batta, Rajan & He, Qing, 2020. "Prepositioning of assets and supplies in disaster operations management: Review and research gap identification," European Journal of Operational Research, Elsevier, vol. 284(1), pages 1-19.
    5. Rodríguez-Espíndola, Oscar & Albores, Pavel & Brewster, Christopher, 2018. "Dynamic formulation for humanitarian response operations incorporating multiple organisations," International Journal of Production Economics, Elsevier, vol. 204(C), pages 83-98.
    6. Aniruddh Nain & Deepika Jain & Shivam Gupta & Ashwani Kumar, 2023. "Improving First Responders' Effectiveness in Post-Disaster Scenarios Through a Hybrid Framework for Damage Assessment and Prioritization," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 409-437, September.
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    9. Ali Torabi, S. & Shokr, Iman & Tofighi, Saeideh & Heydari, Jafar, 2018. "Integrated relief pre-positioning and procurement planning in humanitarian supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 123-146.
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    11. Kian, Ramez & Erdoğan, Güneş & de Leeuw, Sander & Sibel Salman, F. & Sabet, Ehsan & Kara, Bahar Y. & Demir, Muhittin H., 2022. "Logistics planning of cash transfer to Syrian refugees in Turkey," European Journal of Operational Research, Elsevier, vol. 296(3), pages 1007-1024.
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