Reserving relief supplies for earthquake: a multi-attribute decision making of China Red Cross

Earthquake usually causes grievous damages especially in the earthquake prone areas. Building a fast and effective relief system is very important. China Red Cross is the largest humanitarian organizations in China. To improve its disaster response system, reserving relief supplies gets more and more attentions. In this article, a decision making programming based on the data envelopment analysis method is proposed in the construction of reserve network for China Red Cross with three factors, including cost, risk and utility. Four warehouses are selected and the optimal allocation strategies are obtained under the principles of equity and effectiveness which should be obeyed in humanitarian assistance.

[1]  Kyungsup Kim,et al.  A logistics model for the transport of disaster victims with various injuries and survival probabilities , 2015, Ann. Oper. Res..

[2]  G. Kovács,et al.  Identifying challenges in humanitarian logistics , 2009 .

[3]  Richard F. Hartl,et al.  A Bi-objective Metaheuristic for Disaster Relief Operation Planning , 2010, Advances in Multi-Objective Nature Inspired Computing.

[4]  Richard C. Larson,et al.  Responding to Emergencies: Lessons Learned and the Need for Analysis , 2006, Interfaces.

[5]  Anthony Kenneth Charles Beresford,et al.  Humanitarian aid logistics: the Wenchuan and Haiti earthquakes compared , 2013 .

[6]  Aurélie Charles,et al.  Improving the design and management of agile supply chains : feedback and application in the context of humanitarian aid , 2010 .

[7]  Innocent Ibegbunam,et al.  Health commodities management system: priorities and challenges , 2012 .

[8]  G. Kovács,et al.  Humanitarian logistics in disaster relief operations , 2007 .

[9]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[10]  Muhong Zhang,et al.  Inventory policies for humanitarian aid during hurricanes , 2012 .

[11]  Gülay Barbarosoglu,et al.  A two-echelon stochastic facility location model for humanitarian relief logistics , 2012, Optim. Lett..

[12]  A. Athanassopoulos.  Decision Support for Target-Based Resource Allocation of Public Services in Multiunit and Multilevel Systems , 1998 .

[13]  Pinar Keskinocak,et al.  Pre-Positioning of Emergency Items for CARE International , 2011, Interfaces.

[14]  D. C. Whybark,et al.  Issues in managing disaster relief inventories , 2007 .

[15]  Emmett J. Lodree.  Pre‐storm emergency supplies inventory planning , 2011 .

[16]  Yue Ge,et al.  Evaluating china’s national post-disaster plans: The 2008 Wenchuan Earthquake’s recovery and reconstruction planning , 2010 .

[17]  Pekka J. Korhonen,et al.  Resource Allocation Based on Efficiency Analysis , 2004, Manag. Sci..

[18]  Mark A. Turnquist,et al.  Pre-positioning and dynamic delivery planning for short-term response following a natural disaster , 2012 .

[19]  Benita M. Beamon,et al.  Facility location in humanitarian relief , 2008 .

[20]  Linet Özdamar,et al.  Emergency Logistics Planning in Natural Disasters , 2004, Ann. Oper. Res..

[21]  Matthieu Lauras,et al.  An enterprise modelling approach for better optimisation modelling: application to the humanitarian relief chain coordination problem , 2011, OR Spectr..

[22]  Fritz Gehbauer,et al.  Optimized resource allocation for emergency response after earthquake disasters , 2000 .

[23]  Trevor S. Hale,et al.  Improving supply chain disaster preparedness: A decision process for secure site location , 2005 .

[24]  Karl F. Doerner,et al.  Multi-criteria location planning for public facilities in tsunami-prone coastal areas , 2009, OR Spectr..

[25]  Kaan Ozbay,et al.  A Secure and Efficient Inventory Management System for Disasters , 2013 .

[26]  Seokjin Kim,et al.  Facility location for large-scale emergencies , 2010, Ann. Oper. Res..

[27]  Arjun Katoch.  The Responders' Cauldron: The Uniqueness of International Disaster Response , 2006 .

[28]  Zelda B. Zabinsky,et al.  Stochastic optimization of medical supply location and distribution in disaster management , 2010 .

[29]  Riccardo Minciardi,et al.  Real Time Optimal Resource Allocation in Natural Hazard Management , 2004 .

[30]  Gerald Reiner,et al.  A meta‐analysis of humanitarian logistics research , 2012 .

[31]  Marianne Jahre,et al.  Improving health in developing countries: reducing complexity of drug supply chains , 2012 .

[32]  D. Alexander.  Globalization of disaster: trends, problems and dilemmas. , 2006 .

[33]  Frank Fiedrich,et al.  An HLA-Based Multiagent System for Optimized Resource Allocation After Strong Earthquakes , 2006, Proceedings of the 2006 Winter Simulation Conference.

[34]  Kristine Qureshi,et al.  Emergency and disaster preparedness: core competencies for nurses. , 2002, The American journal of nursing.

[35]  Stephen A. Kotleba,et al.  Inventory modelling for complex emergencies in humanitarian relief operations , 2006 .

[36]  Jiuping Xu,et al.  The progress of emergency response and rescue in China: a comparative analysis of Wenchuan and Lushan earthquakes , 2014, Natural Hazards.

[37]  Jomon Aliyas Paul,et al.  Location-allocation planning of stockpiles for effective disaster mitigation , 2012, Annals of Operations Research.

[38]  Gyöngyi Kovács,et al.  Relief Supply Chain Management for Disasters: Humanitarian, Aid and Emergency Logistics , 2012 .