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Uncertain Demand Allocation with Insufficient Resource in Disaster by Using Facebook Disaster Map Under Limited Fund

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Recent Advances in Intelligent Information Systems and Applied Mathematics (ICITAM 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 863))

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Abstract

Disasters are the unfortunate suddenly occurring events which collapse a living society within a moment. Facebook, the most trending social media have initiated an active role to response the crisis developing a safety check feature to know about the demand of victims in an area. Through this feature the Facebook authority can confirm the requirement of the affected people in a specific area. This research have introduced a mathematical model for multi-objective solid transportation problem to quick delivery of the relief products to the devastating society according to the most prior demand of an area acquiring the best information through safety check feature launched by Facebook with limited resources. The two main objectives of the model are to minimize the total cost and minimize the total time so that relief can be executed under a limited budget responding quickly to the affected area. In this paper, fuzzy goal programming is adopted to solve the multi-objective solid transportation problem. To contemplate the performance of the model, a numerical example is presented in this paper. The numerical example is solved with LINGO optimization solver.

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Notes

  1. 1.

    https://www.google.co.in/search?q=most+active+social+media&rlz=1C1EJFA_enIN782IN782&oq=most+active+social+media&aqs=chrome..69i57.12901j0j7&sourceid=chrome&ie=UTF-8.

  2. 2.

    https://www.thehindu.com/news/national/facebook-brings-in-disaster-response-tools-to-india/article20009679.ece.

  3. 3.

    https://indianexpress.com/article/technology/social/facebook-rolls-out-disaster-maps-in-india-4929557/.

References

  1. Kim, J., Hastak, M.: Social network analysis: characteristics of online social networks after a disaster. Int. J. Inf. Manage. 38(1), 86–96 (2018)

    Article  Google Scholar 

  2. Alexander, D.E.: Social media in disaster risk reduction and crisis management. Sci. Eng. Ethics 20(3), 717–733 (2014)

    Article  Google Scholar 

  3. Haghani, A., Oh, S.-C.: Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transp. Res. Part A Policy Pract. 30(3), 231–250 (1996)

    Article  Google Scholar 

  4. Dutta, D., Herath, S., Musiake, K.: A mathematical model for flood loss estimation. J. Hydrol. 277(1–2), 24–49 (2003)

    Article  Google Scholar 

  5. Aksu, D.T., Ozdamar, L.: A mathematical model for post-disaster road restoration: enabling accessibility and evacuation. Transp. Res. Part E Logist. Transp. Rev. 61, 56–67 (2014)

    Article  Google Scholar 

  6. Sarma, D., Bera, U.K., Singh, A., Maiti, M.: A multi-objective post-disaster relief logistic model. In: 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 205–208. IEEE (2017)

    Google Scholar 

  7. Haley, K.: New methods in mathematical programming—the solid transportation problem. Oper. Res. 10(4), 448–463 (1962)

    Article  Google Scholar 

  8. Hitchcock, F.L.: The distribution of a product from several sources to numerous localities. Stud. Appl. Math. 20(1–4), 224–230 (1941)

    MathSciNet  MATH  Google Scholar 

  9. Ojha, A., Das, B., Mondal, S., Maiti, M.: A solid transportation problem for an item with fixed charge, vechicle cost and price discounted varying charge using genetic algorithm. Appl. Soft Comput. 10(1), 100–110 (2010)

    Article  Google Scholar 

  10. Das, A., Bera, U.K., Maiti, M.: A profit maximizing solid transportation model under a rough interval approach. IEEE Trans. Fuzzy Syst. 25(3), 485–498 (2017)

    Article  Google Scholar 

  11. Kundu, P., Kar, S., Maiti, M.: Multi-objective solid transportation problems with budget constraint in uncertain environment. Int. J. Syst. Sci. 45(8), 1668–1682 (2014)

    Article  MathSciNet  Google Scholar 

  12. Maon, F., Lindgreen, A., Vanhamme, J.: Developing supply chains in disaster relief operations through cross-sector socially oriented collaborations: a theoretical model. Supply Chain Manag. Int. J. 14(2), 149–164 (2009)

    Article  Google Scholar 

  13. Oloruntoba, R., Gray, R.: Humanitarian aid: an agile supply chain? Supply Chain Manag. Int. J. 11(2), 115–120 (2006)

    Article  Google Scholar 

  14. Van Wassenhove, L.N.: Humanitarian aid logistics: supply chain management in high gear. J. Oper. Res. Soc. 57(5), 475–489 (2006)

    Article  Google Scholar 

  15. Altay, N., Green III, W.G.: OR/MS research in disaster operations management. Eur. J. Oper. Res. 175(1), 475–493 (2006)

    Article  Google Scholar 

  16. Sahebi, I.G., Arab, A., Moghadam, M.R.S.: Analyzing the barriers to humanitarian supply chain management: a case study of the Tehran Red Crescent Societies. Int. J. Disaster Risk Reduct. 24, 232–241 (2017)

    Article  Google Scholar 

  17. Gutjahr, W.J., Nolz, P.C.: Multicriteria optimization in humanitarian aid. Eur. J. Oper. Res. 252(2), 351–366 (2016)

    Article  MathSciNet  Google Scholar 

  18. Berkoune, D., Renaud, J., Rekik, M., Ruiz, A.: Transportation in disaster response operations. Socio Econ. Plan. Sci. 46(1), 23–32 (2012)

    Article  Google Scholar 

  19. Balcik, B., Beamon, B.M., Smilowitz, K.: Last mile distribution in humanitarian relief. J. Intell. Transp. Syst. 12(2), 51–63 (2008)

    Article  Google Scholar 

  20. Balcik, B., Beamon, B.M., Krejci, C.C., Muramatsu, K.M., Ramirez, M.: Coordination in humanitarian relief chains: practices, challenges and opportunities. Int. J. Prod. Econ. 126(1), 22–34 (2010)

    Article  Google Scholar 

  21. Barzinpour, F., Esmaeili, V.: A multi-objective relief chain location distribution model for urban disaster management. Int. J. Adv. Manuf. Technol. 70(5–8), 1291–1302 (2014)

    Article  Google Scholar 

  22. Gu, J., Zhou, Y., Das, A., Moon, I., Lee, G.M.: Medical relief shelter location problem with patient severity under a limited relief budget. Comput. Ind. Eng. 125, 720–728 (2018)

    Article  Google Scholar 

  23. Mohamadi, A., Yaghoubi, S.: A bi-objective stochastic model for emergency medical services network design with backup services for disasters under disruptions: an earthquake case study. Int. J. Disaster Risk Reduct. 23, 204–217 (2017)

    Article  Google Scholar 

  24. Zangiabadi, M., Maleki, H.R.: Fuzzy goal programming technique to solve multiobjective transportation problems with some non-linear membership functions. Iran. J. Fuzzy Syst. 10(1), 61–74 (2013)

    MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Department of Mathematics, National Institute of Technology Agartala, Agartala, Tripura, India

    Deepshikha Sarma, Uttam Kumar Bera & Akash Singh

  2. School of Advanced Sciences, Vellore Institute of Technology, Vellore, India

    Amrit Das

Authors
  1. Deepshikha Sarma
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  2. Amrit Das
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  3. Uttam Kumar Bera
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  4. Akash Singh
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Corresponding author

Correspondence to Uttam Kumar Bera .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Haldia Institute of Technology, Haldia, West Bengal, India

    Dipak Kumar Jana

  3. Maulana Abul Kalam Azad University of Technology, Haringhata, India

    Debasis Giri

  4. Haldia Institute of Technology, Haldia, India

    Arif Ahmed

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Sarma, D., Das, A., Bera, U.K., Singh, A. (2020). Uncertain Demand Allocation with Insufficient Resource in Disaster by Using Facebook Disaster Map Under Limited Fund. In: Castillo, O., Jana, D., Giri, D., Ahmed, A. (eds) Recent Advances in Intelligent Information Systems and Applied Mathematics. ICITAM 2019. Studies in Computational Intelligence, vol 863. Springer, Cham. https://doi.org/10.1007/978-3-030-34152-7_44

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