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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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    as
    1. Chan, Felix T.S. & Kumar, Niraj, 2007. "Global supplier development considering risk factors using fuzzy extended AHP-based approach," Omega, Elsevier, vol. 35(4), pages 417-431, August.
    2. Sarkis, Joseph & Sundarraj, R. P., 2002. "Hub location at Digital Equipment Corporation: A comprehensive analysis of qualitative and quantitative factors," European Journal of Operational Research, Elsevier, vol. 137(2), pages 336-347, March.
    3. Korpela, Jukka & Tuominen, Markku, 1996. "A decision aid in warehouse site selection," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 169-180, August.
    4. Tzeng, Gwo-Hshiung & Cheng, Hsin-Jung & Huang, Tsung Dow, 2007. "Multi-objective optimal planning for designing relief delivery systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 673-686, November.
    5. Rawls, Carmen G. & Turnquist, Mark A., 2010. "Pre-positioning of emergency supplies for disaster response," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 521-534, May.
    6. Hauser, David & Tadikamalla, Pandu, 1996. "The Analytic Hierarchy Process in an uncertain environment: A simulation approach," European Journal of Operational Research, Elsevier, vol. 91(1), pages 27-37, May.
    7. Campbell, Ann Melissa & Jones, Philip C., 2011. "Prepositioning supplies in preparation for disasters," European Journal of Operational Research, Elsevier, vol. 209(2), pages 156-165, March.
    8. Balcik, Burcu & Beamon, Benita M. & Krejci, Caroline C. & Muramatsu, Kyle M. & Ramirez, Magaly, 2010. "Coordination in humanitarian relief chains: Practices, challenges and opportunities," International Journal of Production Economics, Elsevier, vol. 126(1), pages 22-34, July.
    9. Gatignon, Aline & Van Wassenhove, Luk N. & Charles, Aurélie, 2010. "The Yogyakarta earthquake: Humanitarian relief through IFRC's decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 126(1), pages 102-110, July.
    10. Caunhye, Aakil M. & Nie, Xiaofeng & Pokharel, Shaligram, 2012. "Optimization models in emergency logistics: A literature review," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 4-13.
    11. Olcer, A. I. & Odabasi, A. Y., 2005. "A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem," European Journal of Operational Research, Elsevier, vol. 166(1), pages 93-114, October.
    12. Chin-Tsai Lin & Meng-Chuan Tsai, 2010. "Location choice for direct foreign investment in new hospitals in China by using ANP and TOPSIS," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(2), pages 375-390, February.
    13. Ahn, Byeong Seok, 2000. "The analytic hierarchy process in an uncertain environment: A simulation approach by Hauser and Tadikamalla (1996)," European Journal of Operational Research, Elsevier, vol. 124(1), pages 217-218, July.
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    3. 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.
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    12. 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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