Advertisement

Humanitarian Supply Chain Management: Extended Literature Review

  • Busra Gulnihan DasciogluEmail author
  • Ozalp Vayvay
  • Zeynep Tugce Kalender
Conference paper
Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)

Abstract

Humanitarian supply chain management (HSCM) has gained popularity in recent years in research fields. The aim of this paper is to review the literature on humanitarian operations and crisis/disaster management from 2010 to the latest researches, in order to identify the current research and to provide direction for future research in this growing field. Studies are classified considering the research publication year and research fields. Articles from humanitarian supply chain management were reviewed, and keywords were identified within a disaster management lifecycle framework. Research gaps are identified for future research areas.

Keywords

Humanitarian supply chain management Relief operations Disaster 

References

  1. Agostinho, C. F. (2013). Humanitarian logistics: How to help even more? In 6th IFAC Conference on Management and Control of Production and Logistics.
The International Federation of Automatic Control.Google Scholar
  2. Argollo da Costa, S. R., Campos, V. B. G., & Bandeira, R. A. M. (2012). Supply chains in humanitarian operations: Cases and analysis. Procedia—Social and Behavioral Sciences, 54, 598–607.CrossRefGoogle Scholar
  3. Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175, 475–493.CrossRefGoogle Scholar
  4. Balcik, B., Beamon, B. M., & Swilowitz, K. (2008). Last mile distribution in humanitarian relief. Journal of Intelligent Transportation Systems, 12(2), 51–63.CrossRefGoogle Scholar
  5. Balcik, B., Huang, M., & Swilowitz, K. (2012). Models for relief routing: Equity, efficiency and efficacy. Transportation Research Part E, 48, 2–18.Google Scholar
  6. Bastos, M. A. G., Campos, V. B. G., & Bandeira, R. A. M. (2014). Logistic processes in a post disaster relief operation. Procedia—Social and Behavioral Sciences, 111, 1175–1184.CrossRefGoogle Scholar
  7. Burkart, C., Besiou, M., & Wakolbinger, T. (2017). The funding—Humanitarian supply chain interface. Surveys in Operations Research and Management Science.Google Scholar
  8. Cao, C., Li, C., Yang, Q., Liu, Y., & Qu, T. (2018). A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters. Journal of Cleaner Production, 174, 1422–1435.CrossRefGoogle Scholar
  9. Chakravarty, A. K. (2014). Humanitarian relief chain: Rapid response under uncertainty. International Journal of Production Economics, 151, 146–157.CrossRefGoogle Scholar
  10. Comes, T., Van de Walle, B., Laguna, L., & Lauras, M. (2015). Understanding the health disaster: research design for the response to the 2014 West African Ebola Outbreak. Procedia Engineering, 107, 81–89.CrossRefGoogle Scholar
  11. Díaz-Delgado, C., & Iniestra, J. G. (2014). Flood risk assessment in humanitarian logistics process design. Journal of Applied Research and Technology, 12, 976–984.CrossRefGoogle Scholar
  12. Dufour, E., Laporte, G., Paquette, J., & Rancourt, M. E. (2017). Logistics service network design for humanitarian response in East Africa. Omega, 74, 1–14.CrossRefGoogle Scholar
  13. Ertem, M. A., & Buyurgan, N. (2013). A procurement auctions-based framework for coordinating platforms in humanitarian logistics. Operations Research & Computer Science Interfaces, 54(Humanitarian and Relief Logistics, 111–128.Google Scholar
  14. Fahimnia, B., Jabbarzadeh, A., Ghavamifar, A., & Bell, M. (2017). Supply chain design for efficient and effective blood supply in disasters. International Journal of Production Economics, 183, 700–709.CrossRefGoogle Scholar
  15. Florez, J. V., Lauras, M., Okongwu, U., & Dupont, L. (2015). A decision support system for robust humanitarian facility location. Engineering Applications of Artificial Intelligence, 46, 326–335.CrossRefGoogle Scholar
  16. Galindo, G., & Batta, R. (2013a). Prepositioning of supplies in preparation for a hurricane under potential destruction of prepositioned supplies. Socio-Economic Planning Sciences, 47, 20–37.CrossRefGoogle Scholar
  17. Galindo, G., & Batta, R. (2013b). Review of recent developments in OR/MS research in disaster operations management. European Journal of Operational Research, 230, 201–211.CrossRefGoogle Scholar
  18. Gatignon, A., Van Wassenhove, L. N., & Charles, A. (2010). The Yogyakarta earthquake: Humanitarian relief through IFRC’s decentralized supply chain. International Journal of Production Economics, 126, 102–110.CrossRefGoogle Scholar
  19. Goldschmidt, K. H., & Kumar, S. (2016). Humanitarian operations and crisis/disaster management: A retrospective review of the literature and framework for development. International Journal of Disaster Risk Reduction, 20, 1–13.CrossRefGoogle Scholar
  20. Granberg, T. A. (2013). Preparedness measures for emergency and disaster response. Operations Research & Computer Science Interfaces, 54(Humanitarian and Relief Logistics), 59–76.Google Scholar
  21. Grass, E., & Fischer, K. (2016). Two-stage stochastic programming in disaster management: A literature survey. Surveys in Operations Research And Management Science.Google Scholar
  22. Gunnec, D., & Salman, F. S. (2011). Assessing the reliability and the expected performance of a network under disaster risk. OR Spectrum, 33, 499–523.MathSciNetCrossRefGoogle Scholar
  23. Haavisto, I., & Kovács, G. (2015). A framework for cascading innovation upstream the humanitarian supply chain through procurement processes. Procedia Engineering, 107, 140–145.CrossRefGoogle Scholar
  24. Hamedi, M., Haghani, A., & Yang, S. (2012). Reliable transportation of humanitarian supplies in disaster response: Model and heuristic. Procedia—Social and Behavioral Sciences, 54, 1205–1219.CrossRefGoogle Scholar
  25. Kabra, G., & Ramesh, A. (2015). Segmenting critical factors for enhancing the use of it in humanitarian supply chain management. Procedia—Social and Behavioral Sciences, 189, 144–152.CrossRefGoogle Scholar
  26. Kabra, G., Ramesh, A., & Arshinder, K. (2015). Identification and prioritization of coordination barriers in humanitarian supply chain management. International Journal of Disaster Risk Reduction 13, 128–138.CrossRefGoogle Scholar
  27. Ke, L., & Feng, Z. (2013). A two-phase metaheuristic for the cumulative capacitated vehicle routing problem. Computers & Operations Research, 40, 633–638.CrossRefGoogle Scholar
  28. Kumar, S., & Havey, T. (2013). Before and after disaster strikes: A relief supply chain decision support framework. International Journal Of Disaster Risk Reduction, 13, 128–138.Google Scholar
  29. Kusumastuti, R. D., Wibowo, S. S., & Insanita, R. (2013). Modeling facility locations for relief logistics in Indonesia. Operations Research & Computer Science Interfaces 54(Humanitarian and Relief Logistics), 183–206.Google Scholar
  30. Laan, E. W. D., Dalen, J. V., Rohrmoser, M., & Simpson, R. (2016). Demand forecasting and order planning for humanitarian logistics: An empirical assessment. Journal of Operations Management, 45, 114–122.CrossRefGoogle Scholar
  31. Lassiter, K., Khademi, A., & Taaffe, K. M. (2015). A robust optimization approach to volunteer management in humanitarian crises. International Journal of Production Economics, 163, 97–111.CrossRefGoogle Scholar
  32. Leiras, A., de Brito Jr, I., Peres, E. Q., Bertazzo, T. R., & Yoshizaki, H. T. Y. (2014). Literature review of humanitarian logistics research: Trends and challenges. Journal of Humanitarian Logistics and Supply Chain Management, 4(1), 95–130.CrossRefGoogle Scholar
  33. McLay, L. A., Boone, E. L., & Brooks, J. P. (2012). Analyzing the volume and nature of emergency medical calls during severe weather events using regression methodologies. Socio-Economic Planning Sciences, 46, 55–66.CrossRefGoogle Scholar
  34. Moreno, A., Alem, D., & Ferreira, D. (2016). Heuristic approaches for the multiperiod location-transportation problem with reuse of vehicles in emergency logistics. Computers & Operations Research, 69, 79–96.MathSciNetCrossRefGoogle Scholar
  35. Noham, R., & Tzur, M. (2018). Designing humanitarian supply chains by incorporating actual post-disaster decisions. European Journal of Operational Research, 265, 1064–1077.MathSciNetCrossRefGoogle Scholar
  36. Oloruntoba, R. (2010). An analysis of the cyclone Larry emergency relief chain: some key success factors. International Journal of Production Economics, 126, 85–101.CrossRefGoogle Scholar
  37. Özdamar, L., & Onur, D. (2012). A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. International Journal of Production Economics, 183, 700–709.Google Scholar
  38. Özgüven, E. E., & Özbay, K. (2013). A secure and efficient inventory management system for disasters. Operations Research & Computer Science Interfaces 54(Humanitarian And Relief Logistics), 183–206.Google Scholar
  39. Pateman, H., Hughes, K., & Cahoon, S. (2013). Humanizing humanitarian supply chains: A synthesis of key challenges. The Asian Journal of Shipping and Logistics, 29(1), 81–102.CrossRefGoogle Scholar
  40. Prékopa, A. (2006). On the hungarian inventory control model. European Journal of Operational Research, 171(3), 894–914.MathSciNetCrossRefGoogle Scholar
  41. Rachaniotis, N. P., Dasaklis, T., Pappis, C. P., & Van Wassenhove, L. N. (2013). Multiple location and routing models in humanitarian logistics. Operations Research & Computer Science Interfaces 54(Humanitarian and Relief Logistics), 43–58.Google Scholar
  42. Rahmani, D., Zandi, A., Peyghaleh, E., & Siamakmanesh, N. (2018). A robust model for a humanitarian relief network with backup covering under disruptions: A real world application. International Journal of Disaster Risk Reduction, 28, 56–68.CrossRefGoogle Scholar
  43. Ransikarbum, K., & Mason, S. J. (2016). Goal programming-based post-disaster decision making for integrated relief distribution and early-stage network restoration. International Journal of Production Economics, 182, 324–341.CrossRefGoogle Scholar
  44. Rekik, M., Ruiz, A., Renaud, J., Berkoune, D., & Paquet, S. (2013). A decision support system for humanitarian network design
and distribution operations. Operations Research & Computer Science Interfaces, 54(Humanitarian and Relief Logistics), 1–20.Google Scholar
  45. Rennemo, S. J., Rø, K. F., Hvattum, L. M., & Tirado, G. (2014). A three-stage stochastic facility routing model for disaster response planning. Transportation Research Part E, 62, 116–135.CrossRefGoogle Scholar
  46. Roh, S., Jang, H., & Han, C. (2013). Warehouse location decision factors in humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 29(1), 103–120.CrossRefGoogle Scholar
  47. Sahebjamnia, N., Torabi, S. A., & Mansouri, S. A. (2017). A hybrid decision support system for managing humanitarian relief chains. Decision Support Systems, 95, 12–26.CrossRefGoogle Scholar
  48. Scarpina, M. R. S., & Silvab, R. D. O. (2014). Humanitarian logistics: Empirical evidences from a natural disaster. Procedia Engineering, 78, 102–111.CrossRefGoogle Scholar
  49. Sebbah, S., Boukhtouta, A., Berger, J., & Ghanmi, A. (2013). Military logistics planning in humanitarian relief operations. Operations Research & Computer Science Interfaces 54(Humanitarian and Relief Logistics), 77–110.Google Scholar
  50. Simoes-Marques, M., & Nunes, I. L. (2013). A fuzzy multicriteria methodology to manage priorities and resource assignment
in critical situations. Operations Research & Computer Science Interfaces, 54(Humanitarian and Relief Logistics), 129–154.Google Scholar
  51. Taniguchi, E., & Thompson, R. G. (2013). Humanitarian logistics in the Great Tohoku disasters 2011. Operations Research & Computer Science Interfaces 54(Humanitarian and Relief Logistics), 207–217.Google Scholar
  52. Tatham, P., & Kovács, G. (2010). The application of swift trust to humanitarian logistics. International Journal of Production Economics, 126, 35–45.CrossRefGoogle Scholar
  53. Tofighi, S., Torabi, S. A., & Mansouri, S. A. (2016). Humanitarian logistics network design under mixed uncertainty. European Journal of Operational Research, 250, 239–250.MathSciNetCrossRefGoogle Scholar
  54. Vaillancourt, A. (2016). Kit management in humanitarian supply chains. International Journal of Disaster Risk Reduction, 18, 64–71.CrossRefGoogle Scholar
  55. Yadav, D. K., & Barve, A. (2015). Analysis of critical success factors of humanitarian supply chain: An application of interpretive structural modeling. International Journal of Disaster Risk Reduction, 12, 213–225. http://www.cred.be.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Busra Gulnihan Dascioglu
    • 1
    Email author
  • Ozalp Vayvay
    • 1
  • Zeynep Tugce Kalender
    • 1
  1. 1.Industrial Engineering Department, Engineering FacultyMarmara UniversityIstanbulTurkey

Personalised recommendations