Modeling integrated supply chain logistics in real-time large-scale disaster relief operations

2012 ◽  
Vol 46 (4) ◽  
pp. 327-338 ◽  
Author(s):  
Abbas Afshar ◽  
Ali Haghani
Author(s):  
Rameshwar Dubey ◽  
David J. Bryde ◽  
Cyril Foropon ◽  
Gary Graham ◽  
Mihalis Giannakis ◽  
...  

Abstract Humanitarian organizations are increasingly facing challenges in terms of improving the efficiency and the effectiveness of their disaster relief efforts. These challenges often arise due to a lack of trust, poor collaboration and an inability to respond to disaster affected areas in a timely manner. Our study attempts to understand how these challenges are overcome by seeking answers to questions related to the topics of swift-trust, collaboration and agility in humanitarian supply chains. For instance, in our study we have attempted to examine how information sharing and supply chain visibility in humanitarian supply chains improve the swift-trust among the humanitarian actors engaged in disaster relief operations. Further, we attempt to understand how-swift trust, commitment and collaboration among the humanitarian actors improve the agility in humanitarian supply chains. In our study we provide both theoretical and data-driven answers to our stated research gaps. Our theoretical model is firmly grounded in organizational information process theory and relational view. We tested our research hypotheses using variance based structural equation modelling with survey data collected using a web based pre-tested instrument from 147 NGOs respondents drawn from the National Disaster Management Authority database. Our results help to advance the theoretical debates surrounding “swift-trust”, “collaboration” and “agility” in humanitarian settings. We further provide direction to managers engaged in disaster relief operations. The humanitarian actors engaged in disaster relief often fail to understand how to build swift-trust. Moreover, how swift-trust further affects commitment and collaboration which in turn further affect agility in humanitarian supply chains. Thus humanitarian organizations must understand how information sharing and supply chain visibility is key to swift-trust among humanitarian actors and agility in humanitarian supply chains. Finally, we outline the limitations of our study and offer some future research directions for investigation.


2014 ◽  
Author(s):  
◽  
Jean-Claude Munyaka Baraka

The SADC region has seen both man-made and natural disasters killing over 90 thousand people and affecting millions in the past 33 years. Most of these deaths were as a result of lack of infrastructure and preparedness. Looking at the challenges for providing relief to victims/evacuees throughout the entire disaster and post-disaster periods in the region, the emphasis of this thesis is on last mile transportation of resources, victims, emergency supplies, aiming to optimize the effectiveness (quick­I response) and efficiency (low-cost) of logistics activities including humanitarian supply chain. A survey was used for data collection. Statistical analysis helped determine the impact of disaster relief chains and lead to the development of a mathematical model that shall equip the region with mechanisms for response and recovery operations. An EXCEL optimization tool was used to find the optimal way of transporting relief in the region in case of a disaster.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Agarwal ◽  
Ravi Kant ◽  
Ravi Shankar

Purpose This study proposed a mathematical model for decision-making in the pre- and post-disaster phases. This research aims to develop a mathematical model for three important fields in the context of humanitarian logistics; stock prepositioning, facility location and evacuation planning in the humanitarian supply chain (HSC) network design. Design/methodology/approach This study applied three optimization techniques; classical approach (CA), pattern search algorithm (PSA) and Genetic Algorithm (GA) to solve the proposed mathematical model. The proposed mathematical model attempts to minimize the total relief items supply chain cost and evacuation chain cost of the HSC. A real case study of cyclone Fani, 2019 in Orissa, India is applied to validate the proposed mathematical model and to show the performance of the model. Findings The results demonstrate that heuristic approach; PSA performs better and optimal solutions are obtained in almost all the cases as compared to the GA and CA. Research limitations/implications This study is limited to deterministic demands in the affected regions, and different scenarios of the disaster events are not considered. Social implications The finding reveals that the proposed model can help the humanitarian stakeholders in making decisions on facility location, relief distribution and evacuation planning in disaster relief operations. Originality/value The results of this study may offer managerial insights to practitioners and humanitarian logisticians who are engaged in HSC implementation.


2011 ◽  
Vol 9 (1) ◽  
pp. 25 ◽  
Author(s):  
Han Zhang, MS ◽  
Lesley Strawderman, PhD ◽  
Burak Eksioglu, PhD

After a natural or man-made disaster, effective and efficient disaster relief support is needed. People affected by disasters should be moved from impacted areas, and staff and disaster relief supplies need to be moved to affected destinations in a timely manner. Disaster relief supply chains facilitate the transportation of personnel and supplies that directly affect the humanitarian aid performance. Utilizing appropriate transportation modes in the relief chain is critical to maintain effective relief operations. The main objective of this study is to identify the role of intermodal transportation and related decision making in disaster relief transportation. This objective will be achieved through the following specific aims: identify and assess the current response operations; determine how, if at all, and why humanitarian organizations utilize different modes of transportation to move goods and personnel effectively and efficiently when responding to and recovering from disasters; and identify factors that will potentially enhance the attractiveness of using intermodal transportation. To achieve these aims, two rounds of interviews were conducted first, and second, a large-scale online survey was distributed. Data analysis found that intermodal transportation is not frequently used in disaster relief operations. Decision makers in disaster relief agencies consider multiple factors when choosing transportation modes, but among the factors identified by participants, travel distance was the transportation mode considered most often, regardless of whether supplies or people were being transported. Finally, the organizations that cover larger areas and preposition supplies in their relief operations tend to use intermodal transportation more frequently.


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