scholarly journals A decision support framework for large scale emergency response

2011 ◽  
Author(s):  
D. T. Wilson ◽  
G. I. Hawe ◽  
G. Coates ◽  
R. S. Crouch
Keyword(s):  
Decision Support ◽  
Emergency Response ◽  
Large Scale ◽  
Decision Support Framework

scholarly journals Radiological emergency response for community agencies with cognitive task analysis, risk analysis, and decision support framework

Work ◽  
2012 ◽  
Vol 41 ◽  
pp. 2925-2932
Author(s):  
Travis S. Meyer ◽  
Joseph Z. Muething ◽  
Gustavo Amoras Souza Lima ◽  
Breno Raemy Rangel Torres ◽  
Trystyn Keia del Rosario ◽  
...  
Keyword(s):  
Decision Support ◽  
Risk Analysis ◽  
Emergency Response ◽  
Task Analysis ◽  
Cognitive Task ◽  
Cognitive Task Analysis ◽  
Radiological Emergency ◽  
Community Agencies ◽  
Decision Support Framework ◽  
Radiological Emergency Response

A generalized decision support framework for large‐scale project portfolio decisions

2021 ◽  
Author(s):  
Siddhartha Sampath ◽  
Esma S. Gel ◽  
Karl G. Kempf ◽  
John W. Fowler
Keyword(s):  
Decision Support ◽  
Large Scale ◽  
Project Portfolio ◽  
Portfolio Decisions ◽  
Decision Support Framework ◽  
Large Scale Project

Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach

2015 ◽  
Author(s):  
L. K. Kirkman ◽  
John K. Hiers A. ◽  
L. L. Smith ◽  
L. M. Conner ◽  
S. L. Zeigler ◽  
...  
Keyword(s):  
Decision Support ◽  
Integrated Approach ◽  
Reference Models ◽  
Decision Support Framework

scholarly journals Quantifying Proximity, Confinement, and Interventions in Disease Outbreaks: A Decision Support Framework for Air-Transported Pathogens

2021 ◽  
Vol 55 (5) ◽  
pp. 2890-2898 ◽  
Author(s):  
Tami C. Bond ◽  
Angela Bosco-Lauth ◽  
Delphine K. Farmer ◽  
Paul W. Francisco ◽  
Jeffrey R. Pierce ◽  
...  
Keyword(s):  
Decision Support ◽  
Disease Outbreaks ◽  
Decision Support Framework

scholarly journals Decision support framework for the regional facility location and development planning problem

2021 ◽  
Author(s):  
David Kik ◽  
Matthias Gerhard Wichmann ◽  
Thomas Stefan Spengler
Keyword(s):  
Decision Support ◽  
Facility Location ◽  
Future Orientation ◽  
Real Life ◽  
Development Planning ◽  
Major Influence ◽  
Location Decisions ◽  
Planning Problem ◽  
Location Factor ◽  
Decision Support Framework

AbstractLocation choice is a crucial planning task with major influence on a company’s future orientation and competitiveness. It is quite complex, since multiple location factors are usually of decision-relevance, incomparable, and sometimes conflictual. Further, ongoing urbanization is associated with locational dynamics posing major challenges for the regional location management of companies and municipalities. For example, respecting urban space as location factor, a scarcity growing over time leads to different assessment and requirements on a company’s behalf. For both companies and municipalities, there is a need for location development which implies an active change of location factor characteristics. Accordingly, considering locational dynamics is vital, as they may be decisive in the location decision-making. Although certain dynamics are considered within conventional Facility Location Problem (FLP) approaches, a systematic consideration of active location development is missing so far. Consequently, they may propagate long-term unfavorable location decisions, as major potentials associated with company-driven and municipal development measures are neglected. Therefore, this paper introduces a comprehensive decision support framework for the Regional Facility Location and Development planning Problem (RFLDP). It provides an operationalization of development measures, and thus anticipates dynamic adaptations to the environment. An established multi-criteria approach is extended to this new application. A complementary guideline ensures its meaningful applicability by practitioners. Based on a real-life case study, the decision support framework’s strength for practical application is demonstrated. Here, major advantages over conventional FLP approaches are highlighted. It is shown that the proposed methodology results in alternative location decisions which are structurally superior.

A decision support system for integrated hazardous materials routing and emergency response decisions

2008 ◽  
Vol 16 (6) ◽  
pp. 684-703 ◽  
Author(s):  
Konstantinos G. Zografos ◽  
Konstantinos N. Androutsopoulos
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Emergency Response ◽  
Support System ◽  
Hazardous Materials ◽  
Response Decisions
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