Development of decision support system for emergency management in water treatment plants

2020 ◽  
Vol 191 ◽  
pp. 40-50
Author(s):  
Jaehyun Ju ◽  
Yongjun Choi ◽  
Jihyeok Choi ◽  
Youngkyu Park ◽  
Sangho Lee
Keyword(s):  
Decision Support ◽  
Water Treatment ◽  
Decision Support System ◽  
Emergency Management ◽  
Support System ◽  
Water Treatment Plants

scholarly journals C-Language Programming for Development of Conventional Water Treatment Plants Decision Support System

2014 ◽  
Vol 03 (04) ◽  
pp. 129-139
Author(s):  
Thogare N. Shridhara ◽  
Samson O. Ojoawo ◽  
Pilli V. Mahaganesha ◽  
Mallaura R. Thippeswary ◽  
Rahul Anand ◽  
...  
Keyword(s):  
Decision Support ◽  
Water Treatment ◽  
Decision Support System ◽  
Support System ◽  
C Language ◽  
Water Treatment Plants

Performance management of small water treatment plant operations: a decision support system

2017 ◽  
Vol 31 (3) ◽  
pp. 330-344 ◽  
Author(s):  
Dan Stein ◽  
Gopal Achari ◽  
Cooper H. Langford ◽  
Mohammed H. I. Dore ◽  
Husnain Haider ◽  
...  
Keyword(s):  
Decision Support ◽  
Water Treatment ◽  
Decision Support System ◽  
Performance Management ◽  
Support System ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Small Water ◽  
Plant Operations

A Distributed Scenario-Based Decision Support System for Robust Decision-Making in Complex Situations

2013 ◽  
pp. 213-231
Author(s):  
Tina Comes ◽  
Niek Wijngaards ◽  
Michael Hiete ◽  
Claudine Conrado ◽  
Frank Schultmann
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Emergency Management ◽  
Distributed System ◽  
Support System ◽  
Irrelevant Information ◽  
Informed Decision Making ◽  
Processing Information ◽  
Flexible Adaptation

Decision-making in emergency management is a challenging task as the consequences of decisions are considerable, the threatened systems are complex and information is often uncertain. This paper presents a distributed system facilitating better-informed decision-making in strategic emergency management. The construction of scenarios provides a rationale for collecting, organising, and processing information. The set of scenarios captures the uncertainty of the situation and its developments. The relevance of scenarios is ensured by gearing the scenario construction to assessing alternatives, thus avoiding time-consuming processing of irrelevant information. The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (principles and processes) to both the problem at hand and the information available. This approach ensures that each decision can be founded on a coherent set of scenarios. The theoretical framework is demonstrated in a distributed decision support system by orchestrating experts into workflows tailored to each specific decision.

A Distributed Scenario-Based Decision Support System for Robust Decision-Making in Complex Situations

2011 ◽  
Vol 3 (4) ◽  
pp. 17-35 ◽  
Author(s):  
Tina Comes ◽  
Niek Wijngaards ◽  
Michael Hiete ◽  
Claudine Conrado ◽  
Frank Schultmann
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Emergency Management ◽  
Support System ◽  
Irrelevant Information ◽  
Informed Decision Making ◽  
Processing Information ◽  
Flexible Adaptation ◽  
Distributed Decision

Decision-making in emergency management is a challenging task as the consequences of decisions are considerable, the threatened systems are complex and information is often uncertain. This paper presents a distributed system facilitating better-informed decision-making in strategic emergency management. The construction of scenarios provides a rationale for collecting, organising, and processing information. The set of scenarios captures the uncertainty of the situation and its developments. The relevance of scenarios is ensured by gearing the scenario construction to assessing alternatives, thus avoiding time-consuming processing of irrelevant information. The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (principles and processes) to both the problem at hand and the information available. This approach ensures that each decision can be founded on a coherent set of scenarios. The theoretical framework is demonstrated in a distributed decision support system by orchestrating experts into workflows tailored to each specific decision.

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