Skip to main content

Humanitarian Supply Chain Management: Extended Literature Review

  • Conference paper
  • First Online:
Industrial Engineering in the Big Data Era

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • 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 

  • 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.

    Article  Google Scholar 

  • Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175, 475–493.

    Article  Google Scholar 

  • Balcik, B., Beamon, B. M., & Swilowitz, K. (2008). Last mile distribution in humanitarian relief. Journal of Intelligent Transportation Systems, 12(2), 51–63.

    Article  Google Scholar 

  • Balcik, B., Huang, M., & Swilowitz, K. (2012). Models for relief routing: Equity, efficiency and efficacy. Transportation Research Part E, 48, 2–18.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Burkart, C., Besiou, M., & Wakolbinger, T. (2017). The funding—Humanitarian supply chain interface. Surveys in Operations Research and Management Science.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Chakravarty, A. K. (2014). Humanitarian relief chain: Rapid response under uncertainty. International Journal of Production Economics, 151, 146–157.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Díaz-Delgado, C., & Iniestra, J. G. (2014). Flood risk assessment in humanitarian logistics process design. Journal of Applied Research and Technology, 12, 976–984.

    Article  Google Scholar 

  • Dufour, E., Laporte, G., Paquette, J., & Rancourt, M. E. (2017). Logistics service network design for humanitarian response in East Africa. Omega, 74, 1–14.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • Grass, E., & Fischer, K. (2016). Two-stage stochastic programming in disaster management: A literature survey. Surveys in Operations Research And Management Science.

    Google Scholar 

  • Gunnec, D., & Salman, F. S. (2011). Assessing the reliability and the expected performance of a network under disaster risk. OR Spectrum, 33, 499–523.

    Article  MathSciNet  Google Scholar 

  • Haavisto, I., & Kovács, G. (2015). A framework for cascading innovation upstream the humanitarian supply chain through procurement processes. Procedia Engineering, 107, 140–145.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Ke, L., & Feng, Z. (2013). A two-phase metaheuristic for the cumulative capacitated vehicle routing problem. Computers & Operations Research, 40, 633–638.

    Article  Google Scholar 

  • 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 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  MathSciNet  Google Scholar 

  • Noham, R., & Tzur, M. (2018). Designing humanitarian supply chains by incorporating actual post-disaster decisions. European Journal of Operational Research, 265, 1064–1077.

    Article  MathSciNet  Google Scholar 

  • Oloruntoba, R. (2010). An analysis of the cyclone Larry emergency relief chain: some key success factors. International Journal of Production Economics, 126, 85–101.

    Article  Google Scholar 

  • 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 

  • 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 

  • 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.

    Article  Google Scholar 

  • Prékopa, A. (2006). On the hungarian inventory control model. European Journal of Operational Research, 171(3), 894–914.

    Article  MathSciNet  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Scarpina, M. R. S., & Silvab, R. D. O. (2014). Humanitarian logistics: Empirical evidences from a natural disaster. Procedia Engineering, 78, 102–111.

    Article  Google Scholar 

  • 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 

  • 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 

  • 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 

  • Tatham, P., & Kovács, G. (2010). The application of swift trust to humanitarian logistics. International Journal of Production Economics, 126, 35–45.

    Article  Google Scholar 

  • Tofighi, S., Torabi, S. A., & Mansouri, S. A. (2016). Humanitarian logistics network design under mixed uncertainty. European Journal of Operational Research, 250, 239–250.

    Article  MathSciNet  Google Scholar 

  • Vaillancourt, A. (2016). Kit management in humanitarian supply chains. International Journal of Disaster Risk Reduction, 18, 64–71.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Busra Gulnihan Dascioglu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dascioglu, B.G., Vayvay, O., Kalender, Z.T. (2019). Humanitarian Supply Chain Management: Extended Literature Review. In: Calisir, F., Cevikcan, E., Camgoz Akdag, H. (eds) Industrial Engineering in the Big Data Era. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-03317-0_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-03317-0_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03316-3

  • Online ISBN: 978-3-030-03317-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics