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Author Gary M. Fetter; Mauro Falasca pdf  isbn
openurl 
  Title Establishing the need for decision support in disaster debris disposal Type Conference Article
  Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011  
  Volume Issue Pages  
  Keywords Artificial intelligence; Civil defense; Debris; Decision support systems; Disaster prevention; Disasters; Knowledge based systems; Risk management; User interfaces; Waste disposal; Atlantic hurricane; Decision support system frameworks; Decision supports; Disaster preparedness; Disaster recovery; Emergency management; Nature of disasters; Work-in-progress; Information management  
  Abstract One of the most important and costly aspects of recovery operations is debris collection and disposal. The unique nature of disaster debris and the extreme amounts generated as a result of the disaster event create challenges for decision makers that are not typically encountered during every day solid-waste disposal operations. This work-in-progress research is aimed at identifying the unique aspects of disaster debris disposal and the need for decision support, which addresses these unique aspects, to assist emergency management coordinators with allocating resources during on-going debris cleanup operations. We will present a decision support system framework, discuss aspects of the knowledge base, model base, and user interface, and show how an emergency management coordinator might use the system during ongoing daily operations using real-world data from a 2003 Atlantic hurricane.  
  Address Global Management and Strategy Department, Western Carolina University, United States; Department of Marketing and Supply Chain Management, East Carolina University, United States  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track (up) Analytical Information Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 490  
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Author Mauro Falasca; Christopher W. Zobel; Gary M. Fetter pdf  isbn
openurl 
  Title An optimization model for humanitarian relief volunteer management Type Conference Article
  Year 2009 Publication ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives Abbreviated Journal ISCRAM 2009  
  Volume Issue Pages  
  Keywords Information systems; Mathematical models; Optimization; Conflicting objectives; Humanitarian logistics; Humanitarian relief; Multi criteria decision making; Multicriteria optimization; Optimization modeling; Solution methodology; Workforce management; Decision making  
  Abstract One of the challenges of humanitarian organizations is that there exist limited decision technologies that fit their needs. It has also been pointed out that those organizations experience coordination difficulties with volunteers willing to help. The purpose of this paper is to help address those challenges through the development of a decision model to assist in the management of volunteers. While employee workforce management models have been the topic of extensive research over the past decades, no work has focused on the problem of managing humanitarian relief volunteers. In this paper, we discuss a series of principles from the field of volunteer management and develop a multi criteria optimization model to assist in the assignment of volunteers to tasks. We present an illustrative example and analyze a solution methodology where the decision maker exercises his/her preferences by trading-off conflicting objectives. Conclusions, limitations, and directions for future research are also discussed.  
  Address Dept. of Business Information Technology, Pamplin College of Business, Virginia Tech, 1007 Pamplin Hall, Blacksburg VA, 24061, United States  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Gothenburg Editor J. Landgren, S. Jul  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789163347153 Medium  
  Track (up) Humanitarian Actions and Operations Expedition Conference 6th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 482  
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Author Mauro Falasca; Christopher W. Zobel; Deborah Cook pdf  isbn
openurl 
  Title A decision support framework to assess supply chain resilience Type Conference Article
  Year 2008 Publication Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2008  
  Volume Issue Pages 596-605  
  Keywords Artificial intelligence; Decision support systems; Disasters; Information systems; Inventory control; Decision framework; Decision support framework; Quantitative approach; Resilience; Simulation; Supply chain design; Supply chain resiliences; Supply chain systems; Supply chains  
  Abstract Our research is aimed at developing a quantitative approach for assessing supply chain resilience to disasters, a topic that has been discussed primarily in a qualitative manner in the literature. For this purpose, we propose a simulation-based framework that incorporates concepts of resilience into the process of supply chain design. In this context, resilience is defined as the ability of a supply chain system to reduce the probabilities of disruptions, to reduce the consequences of those disruptions, and to reduce the time to recover normal performance. The decision framework incorporates three determinants of supply chain resilience (density, complexity, and node criticality) and discusses their relationship to the occurrence of disruptions, to the impacts of those disruptions on the performance of a supply chain system and to the time needed for recovery. Different preliminary strategies for evaluating supply chain resilience to disasters are identified, and directions for future research are discussed.  
  Address Dept. of Business Information Technology, R.B. Pamplin College of Business, Virginia Polytechnic Institute and State University, Blacksburg VA, 24061, United States  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Washington, DC Editor F. Fiedrich, B. Van de Walle  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780615206974 Medium  
  Track (up) Impact of Disasters on Industry and Economic Effects Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 481  
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Author Gary M. Fetter; Mauro Falasca; Christopher W. Zobel; Terry R. Rakes pdf  openurl
  Title A multi-stage decision model for debris disposal operations Type Conference Article
  Year 2010 Publication ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings Abbreviated Journal ISCRAM 2010  
  Volume Issue Pages  
  Keywords Artificial intelligence; Decision support systems; Information systems; Optimization; Stochastic programming; Clean-up operations; Debris cleanup; Decision makers; Decision modeling; Hurricane katrina; Initial resources; Multi-stage programming; Resource capacity; Debris  
  Abstract As shown by Hurricane Katrina, disposing of disaster-generated debris can be quite challenging. Extraordinary amounts of debris far exceeding typical annual amounts of solid waste are almost instantaneously deposited across a widespread area. Although the locations and amounts of debris can be easily summarized looking back after recovery activities have been completed, they are uncertain and difficult at best to estimate as debris operations begin to unfold. Further complicating matters is that the capacity of cleanup resources, which is dependent upon available equipment, labor, and subcontractors, can fluctuate during on-going cleanup operations. As a result, debris coordinators often modify initial resource assignments as more accurate debris estimates and more stable resource capacities become known. In this research, we develop a computer-based decision support system that incorporates a multi-stage programming model to assist decision makers with allocating debris cleanup resources immediately following a crisis event and during ongoing operations as debris volumes and resource capacities become known with increasing certainty.  
  Address Dept. of Business Information Technology, Pamplin College of Business, Virginia Tech, United States; Dept. of Information Systems and Operations Management, Sellinger School of Business, Loyola University Maryland, United States  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Seattle, WA Editor S. French, B. Tomaszewski, C. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN Medium  
  Track (up) Open Track Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 491  
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