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Journals / Havacılık ve Uzay Teknolojileri Dergisi / 2017 / Cilt: 10 - Sayı: 1

OR/MSSTUDIES ON POST-DISASTER STAGE RELIEF ITEM LOGISTICS: COMPLEMENTARY REVIEW

Çağlar Utku GÜLER
MURAT ERMİŞ
Pages
1–20
DOI
—
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AI Summary & Key Takeaways

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

Our analysis shows that there are still considerable gaps in practical applications; in the incorporation of vulnerability and safety aspects of relief item distribution such as robbery and despoliation; in the effects of dynamic road availability updates; in multi-period, multi-level, and multi-objective relief item distribution; in the considerations of social costs; in the incorporation of human behavior; and in the needs of cross-services.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aims to make a complementaryreview of recent relief item logisticsresearcheson the post-disaster stage, trendsand practical solutions on humanitarian supply chains (HSC)post-disaster stage, focusing on gaps and future research directions.The paper providesa definition of HSC and its stages; emphasizes its difference from a commercial supply chain; then continues with a presentation of a post-disaster HSC map.
📊
Key Findings & Data:Then, based on an updatingliterature review and evaluation of ongoing studies, concludes withmain findings and gaps, and suggestions about future research directions.The article serves as an update on previous literature reviews in humanitarian logistics.
💡
Conclusion & Impact:Our analysis shows that there are still considerable gaps in practical applications; in the incorporation of vulnerability and safety aspects of relief item distribution such as robbery and despoliation; in the effects of dynamic road availability updates; in multi-period, multi-level, and multi-objective relief item distribution; in the considerations of social costs; in the incorporation of human behavior; and in the needs of cross-services.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

This study aims to make a complementaryreview of recent relief item logisticsresearcheson the post-disaster stage, trendsand practical solutions on humanitarian supply chains (HSC)post-disaster stage, focusing on gaps and future research directions.The paper providesa definition of HSC and its stages; emphasizes its difference from a commercial supply chain; then continues with a presentation of a post-disaster HSC map. Then, based on an updatingliterature review and evaluation of ongoing studies, concludes withmain findings and gaps, and suggestions about future research directions.The article serves as an update on previous literature reviews in humanitarian logistics. Our analysis shows that there are still considerable gaps in practical applications; in the incorporation of vulnerability and safety aspects of relief item distribution such as robbery and despoliation; in the effects of dynamic road availability updates; in multi-period, multi-level, and multi-objective relief item distribution; in the considerations of social costs; in the incorporation of human behavior; and in the needs of cross-services.

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Cite This Article

GÜLER, Ç. U., ERMİŞ, M. (2017). OR/MSSTUDIES ON POST-DISASTER STAGE RELIEF ITEM LOGISTICS: COMPLEMENTARY REVIEW. Havacılık ve Uzay Teknolojileri Dergisi, Cilt: 10 - Sayı: 1, 1–20. https://ajindex.com/articles/213514

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References (6)

  1. S. Yan and Y. L. Shih, “Optimal scheduling of emergency roadway repair and subsequent relief distribution,” Comput. Oper. Res., vol. 36, no. 6, pp. 2049–2065, 2009.
  2. P. Van Hentenryck, R. Bent, and C. Coffrin, “Strategic planning for disaster recovery with stochastic last mile distribution,” in Integration of AI and OR techniques in constraint programming for combinatorial optimization problems, Springer, 2010, pp. 318–333. W. Yi and L. Özdamar, “A dynamic logistics coordination model for evacuation and support in disaster response activities,” Eur. J. Oper. Res., vol. 179, no. 3, pp. 1177–1193, 2007. W. Yi and A. Kumar, “Ant colony optimization for disaster relief operations,” Transp. Res. PartE Logist. Transp. Rev., vol. 43, no. 6, pp. 660–672, 2007. W. E. Wilhelm and A. V. Srinivasa, “Prescribing tactical response for oil spill clean up operations,” Manage. Sci., vol. 43, no. 3, pp. 386–402, 1997. [117]K. Viswanath and S. Peeta, “The multicommodity maximal covering network design problem for planning critical routes for earthquake response,” Transp. Res. Rec., vol. 1857, pp. 1–10, 2003.
  3. G. H. Tzeng, H. J. Cheng, and T. D. Huang, “Multi-objective optimal planning for designing relief delivery systems,” Transp. Res. PartE Logist. Transp. Rev., vol. 43, no. 6, pp. 673–686, 2007. A. V. Srinivasa and W. E. Wilhelm, “A procedurefor optimizing tactical response in oil spill clean up operations,” Eur. J. Oper. Res., vol. 102, no. 3, pp. 554–574, 1997.
  4. J. B. Sheu, Y. H. Chen, and L. W. Lan, “A novel model for quick response to disaster relief distribution,” J. East. Asia Soc. Transp. Stud., vol. 5, pp. 2454–2462, 2005.
  5. Z. Shen, F. Ordóñez, and M. Dessouky, “The stochastic vehicle routing problem for minimum unmet demand,” in Optimization and Its Applications, Boston, MA: Springer, 2009, pp. 349–371.
  6. Z. Shen, M. Dessouky, and F. Ordóñez, “A two-stage vehicle routing model for large-scale bioterrorism emergencies,” Networks, vol. 54, pp. 255–269, 2009. J. A. Ray, “Multi-period linear programming model for optimally scheduling the distribution of food-aidin West Africa,” University of Tennessee, Knoxville, TN, 1987. C. G. Rawls and M. A. Turnquist, “Pre-positioning of emergency supplies for disaster response,” Transp. Res. Part B Methodol., vol. 44, no. 4, pp. 521–534, 2010. H. N. Psaraftis and A. Ziogas Bo, “Tactical decision algorithm for the optimal dispatching of oil spill cleanup equipment,” Manage. Sci., vol. 31, no. 12, pp. 1475–1491, 1985. H. O. Mete and Z.