scholarly journals A safety-critical decision support system evaluation using situation awareness and workload measures

2016 ◽  
Vol 150 ◽  
pp. 147-159 ◽  
Author(s):  
Mohsen Naderpour ◽  
Jie Lu ◽  
Guangquan Zhang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Situation Awareness ◽  
System Evaluation ◽  
Safety Critical

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.

Development of a Decision Support System in Ship-To-Ship Lightering

2016 ◽  
Vol 69 (5) ◽  
pp. 1154-1182 ◽  
Author(s):  
Dagfinn Husjord
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Work Environment ◽  
Support System ◽  
Situation Awareness ◽  
Interaction Design ◽  
Performance Test ◽  
Real Life ◽  
Ship Handling

This paper focusses on the development of a tool for decision-making, tailored for personnel involved in complex Ship-To-Ship (STS) operations, to enhance the efficiency and safety of these operations. A step-wise approach has been selected. The first step includes specification, development and testing of the tool in a simulated work environment using full-mission simulators. In the second step the findings from application of the tool in the simulated work environment will be used to develop a prototype which will be tested during real life STS operations. This paper describes work done in the first of these two steps. During four iterations, a Graphical User Interface (GUI) has been made following Interaction Design (IxD) principles. The designs have been iteratively developed and tested by experienced ship's officers in a ship-handling simulator to clarify key information to enhance their Situation Awareness (SA) and decision-making process. In order to find indicators for performance, an initial performance test was carried out in a ship-handling simulator. The test indicates that a logic based Decision-Support System (DSS) can improve existing simulator-based training activities in STS operations.

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.

scholarly journals Enhanced Navigation at Sea: an augmented reality-based tool for bridge operators

2018 ◽  
Author(s):  
M Martelli ◽  
M Figari ◽  
M di Summa ◽  
G P Viganò ◽  
M Sacco ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Situation Awareness ◽  
Environmental Parameters ◽  
Communication Architecture ◽  
Control Centre ◽  
Ship Control ◽  
And Control ◽  
Navigation Condition

This paper presents the design framework, in which a Decision Support System (DSS) tool has been developed to assist the bridge operator during a challenging navigation condition. The present project would be another step for using state of the art, IT devices and hardware, to increase safety at sea mainly focusing on both collision and grounding avoidance. In this paper, the modules to detect an obstacle and to calculate the evasive route are based on a customized simulation model: such a model is able to represent the dynamic behaviour of a ship, including hydrodynamics, propulsion, and control effects. The suggested route selected by the decision support system and some environmental parameters coupled with some of the ship parameters are visualized on a smart “virtual bridge” exploiting virtual reality techniques. A suitable graphical interface has been developed and installed, in order to enhance the situation awareness. The project also focuses on the communication architecture, which relies on a publish-subscribe paradigm and is responsible to forward ship control parameters both to the virtual bridge and towards an ashore control centre, either for supervising or for remote control. Overall, both the potentiality and the limits of the proposed system have been critically discussed.

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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