An overview of the posters presented at Watermatex 2000. II. Sensor/monitoring, control and decision support systems

2001 ◽  
Vol 43 (7) ◽  
pp. 381-386
Author(s):  
E. I. Volcke ◽  
L. Clement ◽  
M. Van De Steene ◽  
P. A. Vanrolleghem

This paper gives an overview of the poster sessions on sensor/monitoring, control and decision support systems, as they have been presented during the Watermatex 2000 conference. The COST benchmark for the comparison of different control strategies has been analysed. Two different teams have performed research on the control of sewers to decrease combined sewer overflows. Extended methods for gauge monitoring accuracy are proposed. The use of adaptive controllers for improving control performance under varying process conditions is demonstrated in two applications. More advanced techniques for monitoring and control are also discussed. Applications are situated in the field of fault detection and control. Three posters on decision support systems have presented the methodology and architecture of specific applications. Rewarded posters are mentioned and have been selected for full paper publication in this issue of Wat. Sci. Tech.

2010 ◽  
pp. 1043-1055 ◽  
Author(s):  
Ankush Sharma ◽  
Preeta Vyas

Retailing is in a rapid state of change due to speedy technological developments, changing competitive positions, varying consumer behaviour as well as their expectations and liberalized regulatory environment. In such a scenario, information is crucial to plan and control profitable retail businesses and it can be an important source of competitive advantage so long as it is affordable and readily available. DSS (Decision Support Systems) which provide timely and accurate information can be viewed as an integrated entity providing management with the tools and information to assist their decision making.


Author(s):  
Sweta Parmar ◽  
David A. Illingworth ◽  
Rickey P. Thomas

Model-Based Decision Support Systems (MDSS) are ubiquitous in many high-consequence domains like emergency management and military command and control. This paper proposes a framework of model-blindness imposed by MDSS via filtering relevant information and presenting irrelevant information to the decision-maker, causing performance degradation. The paper also defines novel categories of performance: model-limited, strategy-limited, and context-limited. We propose a theoretical confluence model of operator performance under model blindness and a framework to evaluate model blindness empirically. We report simulation results to demonstrate the impact of model blindness on performance and outline mitigation strategies for designers and developers of MDSS. The recommendations and insights can be used to evaluate the limitations associated with particular MDSS before implementation.


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