Appraisal of Humanitarian Supply Chain Risks Using Best-Worst Method

Authors: Ali Mohaghar, Iman Ghasemian Sahebi, Alireza Arab

Abstract:

In the last decades, increasing in human and natural disaster occurrence had very irreparable effects on human life. Hence, one of the important issues in humanitarian supply chain management is identifying and prioritizing the different risks and finding suitable solutions for encountering them at the time of disaster occurrence. This study is an attempt to provide a comprehensive review of humanitarian supply chain risks in a case study of Tehran Red Crescent Societies. For this purpose, Best-Worst method (BWM) has been used for analyzing the risks of the humanitarian supply chain. 22 risks of the humanitarian supply chain were identified based on the literature and interviews with four experts. According to BWM method, the importance of each risk was calculated. The findings showed that culture contexts, little awareness of people, and poor education system are the most important humanitarian supply chain risks. This research provides a useful guideline for managers so that they can benefit from the results to prioritize their solutions.

Keywords: Best worst method, humanitarian logistics, humanitarian supply chain, risk management.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1339938

References:

[1] A. Bayanzadeh, Y. Eslami, A. E. Sam, S. Forouzan, and M. Eghlima, "An Investigation about the Living Conditions of Barn Earthquake Survivals," 2004.
[2] S. R. A. d. Costa, V. B. G. Campos, and R. A. d. M. Bandeira, Supply Chains in Humanitarian Operations: Cases and Analysis," Procedia - Social and Behavioral Sciences, vol. 54, pp. 598-607, 2012.
[3] B. Van Heeringen, "Risk management in regional humanitarian relief operations," 2010.
[4] A. Cozzolino, Humanitarian logistics: cross-sector cooperation in disaster relief management. Springer Science & Business Media, 2012.
[5] A. S. Thomas and L. R. Kopczak, "From logistics to supply chain management: the path forward in the humanitarian sector," Fritz Institute, vol. 15, pp. 1-15, 2005.
[6] R. Ernst, "The academic side of commercial logistics and the importance of this special issue," Forced Migration Review, vol. 18, no. 1, pp. 5-8, 2003.
[7] M. Jahre, G. Persson, G. Kovács, and K. M. Spens, "Humanitarian logistics in disaster relief operations," International Journal of Physical Distribution & Logistics Management, vol. 37, no. 2, pp. 99-114, 2007.
[8] H. ZandHessami and A. Savoji, "Risk management in supply chain management," Management, vol. 1, no. 3, pp. 60-72, 2011.
[9] M. Christopher, Logistics and supply chain management: creating value-added networks. Pearson education, 2005.
[10] H. Stadtler, "Supply chain management and advanced planning––basics, overview, and challenges," European journal of operational research, vol. 163, no. 3, pp. 575-588, 2005.
[11] S. Chopra and P. Meindl, "Supply chain management. Strategy, planning & operation," in Das Summa Summarum des Management: Springer, 2007, pp. 265-275.
[12] L. N. Van Wassenhove, "Humanitarian aid logistics: supply chain management in high gear†," Journal of the Operational research Society, vol. 57, no. 5, pp. 475-489, 2006.
[13] A. Widera, H.-A. Dietrich, B. Hellingrath, and J. Becker, "Understanding humanitarian supply chains–developing an integrated process analysis toolkit," in 10th International ISCRAM Conference. Germany, 2013.
[14] M. Fan, N.-P. Lin, and C. Sheu, "Choosing a project risk-handling strategy: An analytical model," International Journal of Production Economics, vol. 112, no. 2, pp. 700-713, 2008.
[15] G. A. Zsidisin and B. Ritchie, Supply chain risk: a handbook of assessment, management, and performance. Springer Science & Business Media, 2008.
[16] S. Chopra and M. S. Sodhi, "Managing risk to avoid supply-chain breakdown," MIT Sloan management review, vol. 46, no. 1, p. 53, 2004.
[17] H.-H. Wu, "A comparative study of using gray relational analysis in multiple attribute decision-making problems," Quality Engineering, vol. 15, no. 2, pp. 209-217, 2002.
[18] J. V. Blackhurst, K. P. Scheibe, and D. J. Johnson, "Supplier risk assessment and monitoring for the automotive industry," International Journal of Physical Distribution & Logistics Management, vol. 38, no. 2, pp. 143-165, 2008.
[19] I. Manuj and J. T. Mentzer, "Global supply chain risk management strategies," International Journal of Physical Distribution & Logistics Management, vol. 38, no. 3, pp. 192-223, 2008.
[20] S. M. Wagner and C. Bode, "An empirical examination of supply chain performance along several dimensions of risk," Journal of business logistics, vol. 29, no. 1, pp. 307-325, 2008.
[21] D. Neiger, K. Rotaru, and L. Churilov, "Supply chain risk identification with value-focused process engineering," Journal of Operations Management, vol. 27, no. 2, pp. 154-168, 2009.
[22] W. Chandraprakaikul, "A Guiding Framework for Designing Humanitarian Relief Supply Chains-A Case Study in Thailand, actes du 21th Annual Conference of the Production and Operations Management Society," POMS, Vancouver, Canada, accédé le, vol. 19, 2014.
[23] J. Rezaei, T. Nispeling, J. Sarkis, and L. Tavasszy, "A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method," Journal of Cleaner Production, vol. 135, pp. 577-588, 2016.
[24] J. Rezaei, "Best-worst multi-criteria decision-making method," Omega, vol. 53, pp. 49-57, 2015.
[25] S. Sadaghiani, K. W. Ahmad, J. Rezaei, and L. Tavasszy, "Evaluation of external forces affecting supply chain sustainability in oil and gas industry using Best Worst Method," in Gas and Oil Conference (MedGO), 2015 International Mediterranean, 2015, pp. 1-4: IEEE.
[26] J. Rezaei, "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, 2015.
[27] J. Rezaei, A. Hemmes, and L. Tavasszy, "Multi-criteria decision-making for complex bundling configurations in surface transportation of air freight," Journal of Air Transport Management, 2016.