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Soumia Ichoua. (2010). Humanitarian logistics network design for an effective disaster response. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we address the problem of pre-positioning emergency supplies prior to a disaster onset. The goal is to ensure a fast and effective response when the disaster strikes. Pre-positioning of emergency supplies is a strategic decision aimed at determining the number and location of local distribution centers as well as their inventory levels for emergency supplies. These decisions must be made in a highly disruption-prone environment where a timely response is vital and resources are scarce. We present and discuss a scenario-based model that integrates location, inventory and routing decisions.
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Irmana Sampedro, & Matthew Hughes. (2018). Underground Infrastructure and EQ events: how an advanced condition assessment and data collection process will assist in the planning for and recovery from an EQ event. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 254–262). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: Is your organisation ready to cope with underground infrastructure condition assessment data collected after an earthquake? Drawing on lessons from the 2010-2011 Canterbury and 2016 Kaikoura earthquakes, we provide guidance on how to make small differences in how your organisation currently collects and stores the necessary condition data to prepare for emergencies, especially for small- and medium-size councils without sophisticated asset management systems. Key questions to address include: Are you receiving condition assessment data in electronic format? Are your contractors providing XY coordinates when repairs are undertaken, or when providing photographs as part of visual assessment? Do you have an asset management system able to prioritise critically damaged underground infrastructure? Do you have easy access to your current network condition for insurance purposes? Simple business-as-usual improvements will provide enhanced preparedness and resilience capability in the event of an earthquake. In addition, we provide a framework for future data collection processes.
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Jana Kaeppler. (2018). GIS4EM Multi-Tenanted Approach toAGOL Applications for EmergencyManagement (Mackenzie, Hurunui andKaikoura District Councils, NewZealand). In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 233–245). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: With the Hurunui (HDC), Mackenzie (MDC) and Kaikoura (KDC) District Councils sharing their Geographic Information Systems (GIS) and Information Technology (IT) resources since 2017 it was decided to work on a GIS strategy for Emergency Management (EM) that would be applicable for all three councils as in the past geospatial skills and tools did not get equally utilised at all three councils during emergency and training events. ArcGIS Online (AGOL) was chosen as a common platform for a fully cloud based approach to the new Emergency Management Applications. The core modules of these applications are Story maps, WebApp Builder, Survey123, Operations Dashboard, Workforce and AppStudio. The development of these applications is a work-in-progress situation which is driven by the constant conversation and testing between the GIS person and the Emergency Management (EM) officers and a work flow is being developed to integrate these applications into the existing Emergency Operations Centre (EOC) picture. We believe once finalised this set of applications will add great functionality to New Zealand's Coordinated Incident Management System (CIMS) by providing interactive and cloud based visual geospatial information, situational awareness, forecasting, task management and task tracking.
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Jingxian Wang, Lida Huang, Guofeng Su, Tao Chen, Chunhui Liu, & Xiaomeng Wang. (2021). UAV and GIS Based Real-time Display System for Forest Fire. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 527–535). Blacksburg, VA (USA): Virginia Tech.
Abstract: When a forest fire occurs, the commander cannot obtain information in time, and the rescue command is like groping in the dark. In order to solve the problem, this research establishes a real-time forest fire display system based on UAV and GIS. The UAV is equipped with visible light and thermal imaging cameras to transmit back forest fire scenes in real time. Based on GIS, the system can extract the boundary of the fire field through image processing and 3D modeling technology, and display various forest fire information on the screen. Through image processing and 3D modeling technology, the boundary of the fire field can be extracted and displayed on the screen. We conducted several experiments to test the accuracy and the reliability of the system. The result shows that the accuracy, reliability and real-time capability can be guaranteed in small-scale forest fires.
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Kathrin Eismann, Melanie Reuter-Oppermann, & Kai Fischbach. (2019). Towards Social Media Decision Support for Joined EMS and Crisis Logistics. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: In this paper, we investigate how social media can be utilised to support the integration of emergency medical services (EMS) and crisis management activities. We explore the literature both on social media in crisis management and on EMS logistics to elaborate on their potential to support EMS logistics planning based on the experiences from crisis management. We then discuss how social media data can be used for tactical and strategic decision-making using location data to improve demand forecasting and planning for both routine emergencies and crises.
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Laura Laguna Salvadó, Matthieu Lauras, & Tina Comes. (2016). Towards a Monitoring System for American IFRC Logistics Network. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: The International Federation of the Red Cross and Red Crescent (IFRC), is one of the many humanitarian organizations that are further developing their logistics network more decentralized structures with sub-regional networks. One of the main challenges identified is the need of monitoring tools to have a real-time overview of the whole logistics network state, and optimization of the associated operations through real-time decision support systems. Logistics departments of humanitarian organizations have not adopted the technological developments that are standard in the commercial sector due to critical differences, and the IFRC is not an exception. This paper presents a case study conducted with the American and Caribbean IFRC. We present user requirements and specifications for the design of a real-time monitoring system dedicated the sub-regional network. It particularly addresses the challenges to simplify remote data collection, visualization and analysis.
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Laura Laguna Salvadó, Matthieu Lauras, Tina Comes, & Mathieu Grenade. (2016). A Study on the Sub-Regionalization of Humanitarian Supply Chain: the IFRC Case. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Humanitarian Supply Chain (HSC) performance is a key factor for disaster response. In order to be more responsive, the typical humanitarian supply strategy has evolved from a centralized to a decentralized network, generally at regional level. The objective was to reduce lead-times and costs. However, after a decade of working, organizations like the Americas and Caribbean International Federation of the Red Cross and Red Crescent (IFRC) have noticed that those objectives are only partially reached and have decided to go further in the evolution by developing sub-regionalized networks. In this study, we analyse the HSC sub-regionalization process to better understand the challenges and opportunities for humanitarian organizations. Three key aspects are point out: implementation, real-time monitoring and operations? cost-efficiency. Based on these results and considering the law maturity level of humanitarian organizations in terms of Information and Decision-Support Systems, we conclude with giving concrete guidelines for designing and developing ad-hoc monitoring and orchestrating systems.
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Matthias Lendholt, & Martin Hammitzsch. (2011). Generic information logistics for early warning systems. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The delivery of user-tailored warning messages for heterogeneous user groups is a challenge rarely covered by hazard monitoring and early warning systems. While attention is mostly focused on sensor measurements and disaster prediction, warning message dissemination is often based on technical terminology and is not appropriate for the majority of interested user groups. This article describes the concepts of generic information logistics developed for the distant early warning system (DEWS). It is designed to not be limited to specific hazard types, languages or other deployment specifics. Instead, it enables the generation of user-tailored warning messages that account for specific needs and it provides several filter mechanisms to avoid unintended message flooding in emergency situations. Moreover, the importance of spatial references in messages is highlighted and accounted for in both automatic message processing and message reception by humans. Warning messages are based on the common alerting protocol (CAP) to allow interoperability with other early warning systems.
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George Leventakis, Athanasios Sfetsos, Vasileios Gkrizis, Nikolas Athanasiadis, Stefan Tönjes, Spyros Kopsidas, et al. (2011). A Security Risk Analysis Framework for interconnected transportation systems. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The present paper introduces a comprehensive Transportation Security Risk Assessment Framework for assessing related risks and provides cohered contingency management procedures in interconnected, interdependent and heterogeneous transport networks. The proposed approach includes elements, methodological tools and approaches found in the literature, in addition to operational experience from the organization of major events.
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Fabiana Santos Lima, Bernd Hellingrath, Adam Widera, & Mirian Buss Gonçalves. (2013). A systemic process model for procurement decisions in humanitarian logistics. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 688–692). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The relief organizations work in volatile environments involving a variety of actors with different skills and knowledge. The service of emergency for victims of natural disasters requires a rapid decision-making. The objective of the approach presented in this paper is to develop a Systemic Process Model (SPM) for procurement decisions in humanitarian logistics. The SPM aims to support procurement tasks of humanitarian organizations during the response phase in disaster relief. The approach provides a decision support tool using an appropriate quantitative model reflecting the specific area of humanitarian logistics processes.
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Daniel Link, Kenny Meesters, Bernd Hellingrath, & Bartel A. Van De Walle. (2014). Reference task-based design of crisis management games. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 592–596). University Park, PA: The Pennsylvania State University.
Abstract: Serious games are an effective tool for giving players a hands-on, immersive experience of crisis situations. To simplify the design of such games while ensuring their relevance, we propose a design method that is based on reference tasks. The feasibility of this approach is demonstrated by the improved design of the serious game “Disaster in my Backyard” that has been played during ISCRAM Summer school 2013. The design incorporates humanitarian logistics, search-and-rescue and coordination tasks. We also present the lessons learned from this instantiation of the game and give an outlook towards future research, such as the evaluation of tools for crisis response and management through the use of serious games and reference tasks.
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Lyuba Mancheva, Adam Carole, & Dugdale Julie. (2019). Multi-agent geospatial simulation of human interactions and behaviour in bushfires. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Understanding human behaviour and interactions in risk situations may help to improve crisis management
strategies in order to avoid the worst scenarios. In this paper we present a geospatial agent-based model and
simulation of human behaviour in bushfires. We have modelled the social interactions between different actors
involved in bushfires such as firefighter, police, emergency centre managers and civilians. We use the Belief,
Desire and Intention (BDI) architecture to model realistic human behaviour, and the FIPA-ACL standard to
model the communications. We use geospatial data to represent the environment in a realistic way. We show
how the model has been implemented and how we have unified the communications model and the BDI
architecture. Finally, we compare the processing time of two implementations of our model representing a 2D
simple and a 3D GIS environment.
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Tim A. Majchrzak, & Oliver Schmitt. (2012). Improving epidemiology research with patient registries based on advanced web technology. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: To store patients' medical histories and to exchange them between physicians, patient registries are used. Registries contain detailed data on patients and their treatments, and may comprise additional documents. This makes them very valuable for epidemiological research due to the amount of information contained. Providing data for research requires anonymization and pseudonymization to address privacy laws and security concerns. To be able to give feedback to physicians e.g. about discovered treatment possibilities, advanced pseudonymization has to be used. We present progress in the development of patient registries and the required functionality to support research. Usability, explicability, and performance requirements are addressed by incorporating Web technology. Our findings include ways to develop patient registries as well as the description of mechanisms built into them. In particular, we show applications to and implications for crisis management. © 2012 ISCRAM.
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Tiago Badre Marino, Bruno Santos Do Nascimento, & Marcos R. S. Borges. (2012). GIS supporting data gathering and fast decision making in emergencies situations. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: This proposal rises from the Center for Disasters Scientific Support experience over eleven years supporting over a hundred disasters in Latin America. It also presents a case study applied to landslides assessments in Teresopolis (Brazil) city, when all field-generated knowledge was still registered in paper and later, at the base station, uploaded to database and finally available for managers evaluation and decision. The proposed methodology creates a platform (still under development) which allows online registration from different field agents during their evaluations enabling data upload combining mobile devices and telecommunication network (or Wi-Fi) technologies. Teams can also customize forms for different information classes (i.e. landslide assessment, rescued person, blocked road) and still retain the possibility to attach images, videos, other files related to each inspection. Incoming data are stored into a web database available for a real-time coordinators evaluation wherever they are (sometimes over a thousand of miles away from disaster area). © 2012 ISCRAM.
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Marlen Hofmann, Stefan Sackmann, & Hans Betke. (2015). Using Precedence Diagram Method in Process-Oriented Disaster Response Management. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: When planning and modeling disaster response processes (DRP), the unpredictability of disasters precludes accounting for all eventualities in advance. DRPs are thus typically concretized and adapted after the disaster and during the process?s run-time. Since time is critical and uncertainty typical, planning of DRPs requires methods and tools that support disaster managers in process analysis, process adaptation, and decision making. This contribution presents an approach for identifying concurrent activities that, in needing identical resources at the same time in different locations, are jeopardized by such place-related conflicts. As solution, the approach allows managers to calculate valid execution sequences, eliminate place-related conflicts, and prioritize activities by total execution time. Results are shown to form a novel, reliable basis for contributing to disaster managers? decision support.
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Michael Morin, Irène Abi-Zeid, Thanh Tung Nguyen, Luc Lamontagne, & Patrick Maupin. (2013). Search and surveillance in emergency situations – A gis-based approach to construct optimal visibility graphs. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 452–457). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: We present a methodology to construct optimal visibility graphs from vector and raster terrain data based on the integration of Geographic Information Systems, computational geometry, and integer linear programming. In an emergency situation, the ability to observe an environment, completely or partially, is crucial when searching an area for survivors, missing persons, intruders or anomalies. We first analyze inter-visibility using computational geometry and GIS functions. Then, we optimize the visibility graphs by choosing vertices in a way to either maximize coverage with a given number of watchers or to minimize the number of watchers needed for full coverage.
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Oscar Rodríguez-Espíndola, Pavel Albores, & Christopher Bewster. (2015). A multi-agency perspective to disaster preparedness. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: The increasing number of victims from disasters in recent years results in several challenges for authorities aiming to protect and provide support to affected people. Humanitarian logistics represents one of the most important fields during preparedness and response in cases of disaster, seeking to provide relief, information and services to disaster victims. However, on top of the challenges of logistical activities, the successful completion of operations depends to a large extent on coordination. This is particularly important for developing countries, where disasters occur very often and resources are even scarcer.
This paper assumes a multi-agency approach to disaster preparedness that combines geographical information systems (GIS) and multi-objective optimization. The purpose of the tool is to determine the location of emergency facilities, stock prepositioning and distribution allocation for floods. We illustrate the application and the results using a case study centred on Acapulco, México.
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Paige Maas, Shankar Iyer, Andreas Gros, Wonhee Park, Laura McGorman, Chaya Nayak, et al. (2019). Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: After a natural disaster or other crisis, humanitarian organizations need to know where affected people are located
and what resources they need. While this information is difficult to capture quickly through conventional methods,
aggregate usage patterns of social media apps like Facebook can help fill these information gaps.
In this paper, we describe the data and methodology that power Facebook Disaster Maps. These maps utilize
information about Facebook usage in areas impacted by natural hazards, producing aggregate pictures of how the
population is affected by and responding to the hazard. The maps include insights into evacuations, cell network
connectivity, access to electricity, and long-term displacement.
In addition to descriptions and examples of each map type, we describe the source data used to generate the maps,
and efforts taken to ensure the security and privacy of Facebook users. We also describe limitations of the current
methodologies and opportunities for improvement.
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Peng Du, Jianguo Chen, & Zhanhui Sun. (2016). Resource Management System for Crisis Response & Management. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Crisis response and management is a critical duty of authorities worldwide to ensure the wellbeing and safety of their citizens and the sustenance and function of society. One of the core components of crisis response is the management of various resources that support the emergency response operations. In this paper, the design of an emergency resource management system is presented, which is developed to utilise geographic information system (GIS), internet of things (IoT), and cloud technologies for precise and real-time inventory management as well as dynamic and adaptive resource dispatching services.
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Robin E. Mays. (2010). A planning approach to humanitarian logistics. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In humanitarian events, logistics is traditionally considered at time of crisis, and at the tail-end of a project design with little to no strategical, logistical forethought applied. Introducing risk assessment and integrating logistics planning with program plans and training to these plans prior to disaster striking offers a more impactful response at time of disaster. This can be introduced in high risk countries through one on one training, simple templates, spreadsheets and standardized processes.a low to no technological, and highly relational method of building capacity and increasing the impact of an organization.s response to beneficiaries.
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Beate Rottkemper, & Kathrin Fischer. (2013). Decision making in humanitarian logistics – A multi-objective optimization model for relocating relief goods during disaster recovery operations. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 647–657). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Disaster recovery operations rarely proceed smoothly and disruptions often require the redistribution of relief items. Such a redistribution has to be carried out taking into account both the current disruption and the uncertainty regarding possible future incidents in the respective area. As decisions have to be made fast in humanitarian operations, extensive optimization runs cannot be conducted in such a situation. Nevertheless, sensible decisions should be made to ensure an efficient redistribution, considering not only satisfaction of needs but also operational costs, as the budget is usually scarce in the recovery phase of a disaster. In this work, different scenarios are generated and then solved with a multiobjective optimization model to explore possible developments. By evaluating the results of these scenarios, decision rules are identified which can support the decision maker in the actual disaster situation in making fast, but nevertheless well-founded, decisions.
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Ryan K. Williams, Nicole Abaid, James McClure, Nathan Lau, Larkin Heintzman, Amanda Hashimoto, et al. (2020). Collaborative Multi-Robot Multi-Human Teams in Search and Rescue. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 973–983). Blacksburg, VA (USA): Virginia Tech.
Abstract: Robots such as unmanned aerial vehicles (UAVs) deployed for search and rescue (SAR) can explore areas where human searchers cannot easily go and gather information on scales that can transform SAR strategy. Multi-UAV teams therefore have the potential to transform SAR by augmenting the capabilities of human teams and providing information that would otherwise be inaccessible. Our research aims to develop new theory and technologies for field deploying autonomous UAVs and managing multi-UAV teams working in concert with multi-human teams for SAR. Specifically, in this paper we summarize our work in progress towards these goals, including: (1) a multi-UAV search path planner that adapts to human behavior; (2) an in-field distributed computing prototype that supports multi-UAV computation and communication; (3) behavioral modeling that yields spatially localized predictions of lost person location; and (4) an interface between human searchers and UAVs that facilitates human-UAV interaction over a wide range of autonomy.
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André Sabino, Rui Nóbrega, Armanda Rodrigues, & Nuno Correia. (2008). Life-saver: Flood emergency simulator. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 724–733). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper proposes an agent-based simulation system for Dam Break Emergency Plan validation. The proposed system shows that integrating GIS data with an agent-based approach provides a successful simulation platform for the emergency plan validation process. Possible strategies to emergency plan modeling and representation are discussed, proposing a close relation with the actual workflow followed by the entities responsible for the plan's specification. The simulation model is mainly concerned with the location-based and location-motivated actions of the involved agents, describing the likely effects of a specific emergency situation response. The simulator architecture is further described, based on the correspondence between the representation of the plan, and the simulation model. This includes the involving characteristics of the simulation, the simulation engine, the description of the resulting data (for the later evaluation of the emergency plan) and a visualization and interaction component, enabling the dynamic introduction of changes in the scenario progression.
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Samuel Lee Toepke, & R. Scott Starsman. (2015). Population Distribution Estimation of an Urban Area Using Crowd Sourced Data for Disaster Response. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: In the event of a disaster, high resolution knowledge of expected population distribution is a boon to the situational awareness of disaster managers and first responders. Knowing the expected locations of large throngs of people can greatly affect distribution of aid and response infrastructure. Effective dissemination of this information can be realized by using a myriad of readily available technologies.
With the modern proliferation of smart phones, pervasive Internet and freely available social media applications, population distribution can be estimated from the constant aggregation of crowd sourced data. Twitter and Instagram both publish geolocated data, which is then processed by a cloud-based, enterprise application to generate heat maps. The heat maps are then shown in a real-time geographic information system that is visible to any mobile device with a web browser.
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Sandra Lechtenberg, Adam Widera, & Bernd Hellingrath. (2017). Assessing Vendor Managed Inventory (VMI) for Humanitarian Organizations. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 765–774). Albi, France: Iscram.
Abstract: Logistics activities are of high importance for the success of a humanitarian operation and can be responsible for up to 80% of its costs. Vendor Managed Inventory, a concept successfully applied in commercial logistics, might be a possibility to enhance the effectiveness of humanitarian logistics operations. However, there is a lack of an appropriate assessment of the VMI applicability for a humanitarian organization. We propose an adjusted VMI Readiness Score for humanitarian organizations, a tool adapted from a commercial context for the specific requirements of humanitarian scenarios, to gain a general impression of the suitability of VMI. The tool is applied exemplary to the IFRC and the result indicates that it is worthwhile to further investigate the applicability of VMI for humanitarian organizations.
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