The world has witnessed an increasing number of natural disasters in recent years affecting large populations. The logistical operations to deliver relief to these populations are complex requiring careful planning and execution especially during the Last Mile Relief Distribution (LMRD), the ultimate phase in these operations. LMRD is the phase where the disaster logistics chain directly connects with the affected communities and whose performance is affected by many factors. The aim of this paper is to evaluate the impact of relevant factors on LMRD performance in the context of India, the most affected country in the world by natural disasters. The research was conducted interviews with International NGOs and Indian government, national, and international NGOs involved in disaster relief operations in the country to determine the factors affecting LMRD operations. The qualitative phase findings identified coordination as the most significant factor affecting LMRD operations performance in India and established an outline, which will be used as a planner of LMRD before decision-making process in India. This research identifies coordination as a major factor of LMRD operations in India. Its impact is evaluated through the development of a conceptual model, which provided empirical evidence of the magnitude of LMRD performance improvement by adopting new coordination policies. The research provides suggestions for new ways on how to achieve better coordination and implement these successfully in Indian LMRD operations.
Cite this article:
Priyanka Roy, Reda M Lebcir. The Objectives and factors affecting Performance of last mile Relief Distribution in Post-Disaster operations: The case of India. Asian Journal of Management. 2021; 12(1):55-66. doi: 10.5958/2321-5763.2021.00009.3
1. Swiss R. Natural Catastrophes and Man-made Disasters in 2015. 2016.
2. UNISDR C. Review of Disaster Events. Centre for Research on the Epidemiology of Disasters. 2018.
3. Thirumoorthi P, Hemalatha T. Communication Technology Development in Logistics Industry. Asian Journal of Management. 2017;8(4):1397-9.
4. Mahilange PK. Effective Supply Chain Management Equilibrates the Supply and Demand Management of an Organization. Asian Journal of Management. 2016;7(3):231-5.
5. Dubey R, Gunasekaran A, Papadopoulos T. Disaster relief operations: past, present and future. Annals of Operations Research. 2019;283(1-2):1-8.
6. Thomas AS, Kopczak LR. From logistics to supply chain management: the path forward in the humanitarian sector. Fritz Institute. 2005; 15:1-15.
7. Van Wassenhove LN. Humanitarian aid logistics: supply chain management in high gear. Journal of the Operational research Society. 2006;57(5):475-89.
8. Balcik B, Beamon BM. Facility location in humanitarian relief. International Journal of Logistics. 2008;11(2):101-21.
9. Ertem MA, Buyurgan N, Rossetti MD. Multiple-buyer procurement auctions framework for humanitarian supply chain management. International Journal of Physical Distribution & Logistics Management. 2010;40(3):202-27.
10. Sheu J-B. Challenges of emergency logistics management. Transportation research part E: logistics and Transportation Review. 2007;43(6):655-9.
11. Balcik B, Beamon BM, Smilowitz K. Last mile distribution in humanitarian relief. Journal of Intelligent Transportation Systems. 2008;12(2):51-63.
12. Decker M. Last Mile Logistics for Disaster Relief Supply Chain Management: Challenges and Opportunities for Humanitarian Aid and Emergency Relief: Anchor Academic Publishing (aap_verlag); 2013.
13. Ekici A, Özener OÖ. Inventory routing for the last mile delivery of humanitarian relief supplies. OR Spectrum. 2020:1-40.
14. Rabta B, Wankmüller C, Reiner G. A drone fleet model for last-mile distribution in disaster relief operations. International Journal of Disaster Risk Reduction. 2018; 28:107-12.
15. Martinez AP, Stapleton O, Van Wassenhove LN. Last Mile Vehicle Fleet Management in Humanitarian Operations: A Case-Based Approach. working paper, Insead publication; 2011.
16. Battini D, Peretti U, Persona A, Sgarbossa F. Application of humanitarian last mile distribution model. Journal of Humanitarian Logistics and Supply Chain Management. 2014;4(1):131-48.
17. Tzeng G-H, Cheng H-J, Huang TD. Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E: Logistics and Transportation Review. 2007; 43(6): 673-86.
18. Sheu J-B. An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics and Transportation Review. 2007; 43(6): 687-709.
19. Vitoriano B, Ortuño MT, Tirado G, Montero J. A multi-criteria optimization model for humanitarian aid distribution. Journal of Global Optimization. 2011;51(2):189-208.
20. Purohit J, Suthar C. Disasters statistics in Indian scenario in the last two decade. Int J Sci Res Pub. 2012;2(5):1-5.
21. Nurmala N, de Leeuw S, Dullaert W. Humanitarian–business partnerships in managing humanitarian logistics. Supply Chain Management: An International Journal. 2017;22(1):82-94.
22. Scheer SJ, Varela V, Eftychidis G. A generic framework for tsunami evacuation planning. Physics and Chemistry of the Earth, Parts A/B/C. 2012;49:79-91.
23. Rawls CG, Turnquist MA. Pre-positioning and dynamic delivery planning for short-term response following a natural disaster. Socio-Economic Planning Sciences. 2012;46(1):46-54.
24. Döyen A, Aras N, Barbarosoğlu G. A two-echelon stochastic facility location model for humanitarian relief logistics. Optimization Letters. 2012;6(6):1123-45.
25. Chen Z, Chen X, Li Q, Chen J. The temporal hierarchy of shelters: a hierarchical location model for earthquake-shelter planning. International Journal of Geographical Information Science. 2013;27(8):1612-30.
26. Mete HO, Zabinsky ZB. Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics. 2010;126(1):76-84.
27. Mentzer JT, Konrad BP. An efficiency/effectiveness approach to logistics performance analysis. Journal of Business Logistics. 1991;12(1):33.
28. Jahre M, Persson G, Kovács G, Spens KM. Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution & Logistics Management. 2007.
29. Barbarosoǧlu G, Arda Y. A two-stage stochastic programming framework for transportation planning in disaster response. Journal of the Operational Research Society. 2004;55(1):43-53.
30. Das R, Hanaoka S. An agent-based model for resource allocation during relief distribution. Journal of Humanitarian Logistics and Supply Chain Management. 2014;4(2):265-85.
31. Hwang H-S. A food distribution model for famine relief. Computers & Industrial Engineering. 1999;37(1-2):335-8.
32. Pedraza Martinez A, Stapleton O, Van Wassenhove L. Last mile vehicle fleet management in humanitarian operations: a case-based approach. Unpublished Manuscript; 2009.
33. Ferris E. Earthquakes and floods: comparing Haiti and Pakistan. Brookings Institution. 2010;26.
34. Rajput V. Disaster Management. International Journal of Nursing Education and Research. 2015;3(2):232-4.
35. Agarwal V, Kushw VS, Sondh H. Learning Disaster Management-Integrated Approach. Research Journal of Humanities and Social Sciences. 2012;3(3):369-71.
36. Kumar N, Agrawal A, Khan R. A Site Selection Scheme for Emergency Network Deployment: A metro city perspective. Research Journal of Engineering and Technology. 2017;8(4):347-50.
37. Devulkar N, Moreshwar S, Shivarudrappa S. A Study to Evaluate the Effectiveness of Planned Teaching Programme on Knowledge of Disaster Management among NCC Students in Selected High Schools. International Journal of Nursing Education and Research. 2014;2(3):213-7.
38. Patidar DD, Patidar D. A Study to Assess the Effectiveness of Video Assisted Teaching Programme on Knowledge regarding Disaster Management among People in Mehsana City Gujarat. International Journal of Advances in Nursing Management. 2019;7(3):217-20.
39. Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2006;3(2):77-101.
40. Refugees UNHCf. Handbook for emergencies. UNHCR Geneva; 1999.
41. Kapucu N. Collaborative emergency management: better community organising, better public preparedness and response. Disasters. 2008;32(2):239-62.
42. Kunz N, Reiner G. A meta-analysis of humanitarian logistics research. Journal of Humanitarian Logistics and Supply Chain Management. 2012;2(2):116-47.
43. Heaslip G, Barber E. Using the military in disaster relief: systemising challenges and opportunities. Journal of Humanitarian Logistics and Supply Chain Management. 2014;4(1):60-81.
44. Balcik B, Beamon BM, Krejci CC, Muramatsu KM, Ramirez M. Coordination in humanitarian relief chains: Practices, challenges and opportunities. International Journal of Production Economics. 2010;126(1):22-34.
45. Curnin S, Owen C, Paton D, Trist C, Parsons D. Role Clarity, Swift Trust and Multi‐Agency Coordination. Journal of Contingencies and Crisis Management. 2015;23(1):29-35.
46. Özdamar L, Demir O. A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transportation Research Part E: Logistics and Transportation Review. 2012;48(3):591-602.
47. Afandizadeh S, Jahangiri A, Kalantari N. Identifying the optimal configuration of one-way and two-way streets for contraflow operation during an emergency evacuation. Natural Hazards. 2013;69(3):1315-34.
48. Chang F-S, Wu J-S, Lee C-N, Shen H-C. Greedy-search-based multi-objective genetic algorithm for emergency logistics scheduling. Expert Systems with Applications. 2014;41(6):2947-56.
49. Ortuño M, Tirado G, Vitoriano B. A lexicographical goal programming based decision support system for logistics of Humanitarian Aid. Top. 2011;19(2):464-79.
50. Chang M-S, Tseng Y-L, Chen J-W. A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transportation Research Part E: Logistics and Transportation Review. 2007;43(6):737-54.
51. Lee EK, Chen C-H, Pietz F, Benecke B. Modeling and optimizing the public-health infrastructure for emergency response. Interfaces. 2009;39(5):476-90.
52. Najafi M, Eshghi K, Dullaert W. A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transportation Research Part E: Logistics and Transportation Review. 2013;49(1):217-49.
53. Kimms A, Maassen K-C. Optimization and simulation of traffic flows in the case of evacuating urban areas. OR spectrum. 2011;33(3):571-93.
54. Rath S, Gutjahr WJ. A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research. 2014; 42:25-39.
55. Pattanaik SK, Chaudhury SK. Taxation of Non-Profit Organizations in India in Changing Scenario: A Reform Experience. Asian Journal of Management. 2011;2(3):141-6.
56. Baksi AK. Linking consumer trust, repatronization and advocacy with intervention of perceived service recovery and zone-of-tolerance. Asian Journal of Management. 2017;8(2):324-30.
57. Kaushik P, Jaggi J, Jadhav Y, Goswami BN, Dhuri A. Parameters to measure performance of an NGO in India. Asian Journal of Management. 2020;11(3):349-61.
58. Kapucu N. Disaster and emergency management systems in urban areas. Cities. 2012;29, Supplement 1(0):S41-S9.
59. Jalali R. Financing Empowerment? How Foreign Aid to Southern Ngos and Social Movements Undermines Grass‐Roots Mobilization. Sociology Compass. 2013;7(1):55-73.
60. Bromley P, Schofer E, Longhofer W. Contentions over world culture: The rise of legal restrictions on foreign funding to NGOs, 1994–2015. Social Forces. 2020;99(1):281-304.
61. Heaslip G, Barber E. Using the military in disaster relief: systemising challenges and opportunities. Journal of Humanitarian Logistics and Supply Chain Management. 2014.
62. Rodríguez-Espíndola O, Chowdhury S, Beltagui A, Albores P. The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing. International Journal of Production Research. 2020:1-21.