A Mobile Emergency Triage Decision Support System Evaluation

2006 ◽  
Author(s):  
N. Padmanabhan ◽  
F. Burstein ◽  
L. Churilov ◽  
J. Wassertheil ◽  
B. Hornblower ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Evaluation ◽  
Triage Decision

A Decision Support System for Sustainable Waste Collection

2020 ◽  
pp. 347-365
Author(s):  
Mattias Strand ◽  
Anna Syberfeldt ◽  
André Geertsen
Keyword(s):  
Carbon Dioxide ◽  
Decision Support ◽  
Nitrogen Oxides ◽  
Decision Support System ◽  
Waste Management ◽  
Support System ◽  
Operating Time ◽  
System Evaluation ◽  
Waste Collection ◽  
The Many

This paper presents a decision support system (DSS) for making the waste collection process more sustainable. Currently, waste collection schedules and routes are created manually in most waste management organizations. This is both very time consuming and likely to result in poor solutions, as the task is extremely difficult due to the large number of bins combined with the many parameters to be considered simultaneously. With a sophisticated DSS, it becomes possible to address the complexities of optimal waste collection and improve sustainability—not least from the environmental perspective. The DSS proposed here is designed to be used on the operational level in the waste management organization and supports daily operations and activities. System evaluation indicates that it can reduce truck operating time by approximately 25%, corresponding to a saving of approximately 21,300 kg of carbon dioxide and 187 kg of nitrogen oxides per year and truck.

Scenario Development for Decision Support System Evaluation

2002 ◽  
Vol 46 (3) ◽  
pp. 357-361 ◽  
Author(s):  
Emilie M. Roth ◽  
James W. Gualtieri ◽  
William C. Elm ◽  
Scott S. Potter
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Cognitive Processing ◽  
Support System ◽  
System Evaluation ◽  
Scenario Development ◽  
Design Concepts ◽  
Collaborative Performance ◽  
Complicating Factors ◽  
Processing Factors

This paper introduces a methodology for developing scenarios representative of the cognitive and collaborative challenges inherent in a domain of practice for evaluating Decision Support Systems (DSS). Explicit links are made between particular aspects of the DSS and specific cognitive and collaborative demands they are intended to support. The effectiveness of the DSS in supporting performance can then be systematically probed by creating scenarios that are informed by an understanding of individual and team cognitive processing factors, fundamental relationships within the domain, and known complicating factors that can arise in the domain to challenge cognitive and collaborative performance. This paper introduces a set of explicit artifacts to systematically create such scenarios to provide feedback on the viability of the DSS design concepts (e.g., are the hypothesized positive impacts of the DSS realized?), as well as feedback on additional unanticipated requirements for support.

scholarly journals System Evaluation for a Decision Support System

2010 ◽  
Vol 9 (5) ◽  
pp. 889-898 ◽  
Author(s):  
K. Shafinah ◽  
M.H. Selamat ◽  
R. Abdullah ◽  
A.M. Nik Muhama ◽  
A.G. Awang Noor
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Evaluation

A Decision Support System for Sustainable Waste Collection

2017 ◽  
Vol 9 (4) ◽  
pp. 49-65 ◽  
Author(s):  
Mattias Strand ◽  
Anna Syberfeldt ◽  
André Geertsen
Keyword(s):  
Carbon Dioxide ◽  
Decision Support ◽  
Decision Support System ◽  
Waste Management ◽  
Support System ◽  
Operating Time ◽  
System Evaluation ◽  
Waste Collection ◽  
Operational Level ◽  
The Many

This paper presents a decision support system (DSS) for making the waste collection process more sustainable. Currently, waste collection schedules and routes are created manually in most waste management organizations. This is both very time consuming and likely to result in poor solutions, as the task is extremely difficult due to the large number of bins combined with the many parameters to be considered simultaneously. With a sophisticated DSS, it becomes possible to address the complexities of optimal waste collection and improve sustainability—not least from the environmental perspective. The DSS proposed here is designed to be used on the operational level in the waste management organization and supports daily operations and activities. System evaluation indicates that it can reduce truck operating time by approximately 25%, corresponding to a saving of approximately 21,300 kg of carbon dioxide and 187 kg of nitrogen oxides per year and truck.

A Multi-faceted Decision Support System Evaluation Approach

2001 ◽  
Vol 10 (3-4) ◽  
pp. 395-428 ◽  
Author(s):  
Sean Maynard ◽  
Frada Burstein ◽  
Dzvid Arnott
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Evaluation ◽  
Evaluation Approach
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