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Journals / Journal of Naval Sciences and Engineering / 2017 / Cilt: 13 - Sayı: 1

A CASE STUDY FOR PRE-POSITIONING A GLOBAL HUMANITARIAN RELIEF NETWORK

Ertan YAKICI
Pages
23–30
Publication Date
2017-04-28
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

A sensitivity analysis is also conducted to observe how the average response time changes as the allowed number of warehouses increases.

📌 3 Key Takeaways

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Objective & Hypothesis:In this case study, we have investigated the optimal design of a network of warehouses to be pre-positioned for humanitarian relief operations to be executed when expected disasters happen.
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Key Findings & Data:A model which is previously introduced in the literature is applied with the most recent data.
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Conclusion & Impact:A sensitivity analysis is also conducted to observe how the average response time changes as the allowed number of warehouses increases.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Pre-positioning · Humanitarian Relief Logistics · Warehouse Location

Abstract

In this case study, we have investigated the optimal design of a network of warehouses to be pre-positioned for humanitarian relief operations to be executed when expected disasters happen. A model which is previously introduced in the literature is applied with the most recent data. The model responds to decision requirements in both locations of warehouses and allocation of resources to these warehouses, assuming the disaster pattern of last decade will continue. A sensitivity analysis is also conducted to observe how the average response time changes as the allowed number of warehouses increases.

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Cite This Article

YAKICI, E. (2017). A CASE STUDY FOR PRE-POSITIONING A GLOBAL HUMANITARIAN RELIEF NETWORK. Journal of Naval Sciences and Engineering, Cilt: 13 - Sayı: 1, 23–30. https://ajindex.com/articles/238131

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References (6)

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  2. Van Wassenhove L.N., (2006). Blackett memorial lecture-humanitarian aid logistics: Supply chain management in high gear, J. Oper. Res. Soc., 57, pp. 475–489
  3. Duran S., Gutierrez M.A., and Keskinocak P., (2011). Pre-positioning of emergency items for care international, Interfaces, vol. 41(3), pp. 223–237
  4. EM-DAT The International Disaster Database Homepage. Available online: http://www.emdat.be (accessed on 5 March 2017)
  5. Bozkurt M., and Duran S., (2012). Effects of Natural Disaster Trends: A Case Study for Expanding the Pre-Positioning Network of CARE International, Int. J. Environ. Res. Public Health, 9, pp. 2863-2874
  6. Bozkurt M., (2011). The effects of natural disaster trends on the prepositioning implementation in humanitarian logistics networks, MS Thesis, METU, Ankara.