Application of decision support systems in water management

2014 ◽  
Vol 22 (3) ◽  
pp. 189-205 ◽  
Author(s):  
Kejiang Zhang ◽  
Amin Zargar ◽  
Gopal Achari ◽  
M. Shafiqul Islam ◽  
Rehan Sadiq
Keyword(s):  
Water Management ◽  
Decision Support ◽  
Decision Support Systems ◽  
Asset Management ◽  
Water Resource Management ◽  
Distribution Systems ◽  
Water Distribution ◽  
Support Systems ◽  
Future Research ◽  
Water And Wastewater Treatment

This paper presents an overview of decision support systems (DSSs) as applied to water management. This includes the definition of DSSs as pertinent to water management, its basic components, various techniques employed in development of DSSs, and technological and conceptual trends in DSSs. The application of DSSs in various areas of water management such as water resource management, water and wastewater treatment operations, water distribution systems, and infrastructure asset management is discussed. Calibration and validation of DSSs and future research in the development of new generations of DSSs is presented.

scholarly journals Contribution of decision support systems to water management improvement in basins with high evaporation in Mediterranean climates

2019 ◽  
Vol 50 (4) ◽  
pp. 1020-1036 ◽  
Author(s):  
Verónica Ruiz-Ortiz ◽  
Santiago García-López ◽  
Abel Solera ◽  
Javier Paredes
Keyword(s):  
Water Management ◽  
Decision Support ◽  
Surface Water ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Strategies ◽  
Decision Makers ◽  
Basin Management ◽  
Surface Water And Groundwater

Abstract The entry into force of Directive 2000/60/EC of the European Parliament and the Council of 23 October 2000 established a new model for the management and protection of surface water and groundwater in Europe. In this sense, a thorough knowledge of the basins is an essential step in achieving this European objective. The utility of integrative decision support systems (DSS) for decision-making in complex systems and multiple objectives allows decision-makers to identify characteristics and improve water management in a basin. In this research, hydrological and water management resource models have been combined, with the assistance of the DSS AQUATOOL, with the aim of deepening the consideration of losses by evaporation of reservoirs for a better design of the basin management rules. The case study treated is an Andalusian basin of the Atlantic zone (Spain). At the same time, different management strategies are analysed based on the optimization of the available resources by means of the conjunctive use of surface water and groundwater.

scholarly journals Scheduling and Rescheduling Operations Using Decision Support Systems: Insights From Emotional Influences on Decision-Making

2021 ◽  
Vol 2 ◽  
Author(s):  
Mélody Mailliez ◽  
Olga Battaïa ◽  
Raphaëlle N. Roy
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Mental State ◽  
Production Scheduling ◽  
Manufacturing Systems ◽  
Support Systems ◽  
Mental States ◽  
Future Research ◽  
Modern Manufacturing

For many years, manufacturers have focused on improving their productivity. Production scheduling operations are critical for this objective. However, in modern manufacturing systems, the original schedule must be regularly updated as it takes places in a dynamic and uncertain environment. The modern manufacturing environment is therefore very stressful for the managers in charge of the production process because they have to cope with many disruptions and uncertainties. To help them in their decision-making process, several decision support systems (DSSs) have been developed. A recent and enormous challenge is the implementation of DSSs to efficiently manage the aforementioned issues. Nowadays, these DSSs are assumed to reduce the users' stress and workload because they automatically (re)schedule the production by applying algorithms. However, to the best of our knowledge, the reciprocal influence of users' mental state (i.e., cognitive and affective states) and the use of these DSSs have received limited attention in the literature. Particularly, the influence of users' unrelated emotions has received even less attention. However, these influences are of particular interest because they can account for explaining the efficiency of DSSs, especially in modulating DSS feedback processing. As a result, we assumed that investigating the reciprocal influences of DSSs and users' mental states could provide useful avenues of investigation. The intention of this article is then to provide recommendations for future research on scheduling and rescheduling operations by suggesting the investigation of users' mental state and encouraging to conduct such research within the neuroergonomic approach.

scholarly journals Big data as a value generator in decision support systems: a literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gustavo Grander ◽  
Luciano Ferreira da Silva ◽  
Ernesto Del Rosário Santibañez Gonzalez
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Literature Review ◽  
Decision Support Systems ◽  
Support Systems ◽  
Big Data Analytics ◽  
Machine Learning Algorithms ◽  
Future Research ◽  
Content Type ◽  
Theoretical Contribution

PurposeThis paper aims to analyze how decision support systems manage Big data to obtain value.Design/methodology/approachA systematic literature review was performed with screening and analysis of 72 articles published between 2012 and 2019.FindingsThe findings reveal that techniques of big data analytics, machine learning algorithms and technologies predominantly related to computer science and cloud computing are used on decision support systems. Another finding was that the main areas that these techniques and technologies are been applied are logistic, traffic, health, business and market. This article also allows authors to understand the relationship in which descriptive, predictive and prescriptive analyses are used according to an inverse relationship of complexity in data analysis and the need for human decision-making.Originality/valueAs it is an emerging theme, this study seeks to present an overview of the techniques and technologies that are being discussed in the literature to solve problems in their respective areas, as a form of theoretical contribution. The authors also understand that there is a practical contribution to the maturity of the discussion and with reflections even presented as suggestions for future research, such as the ethical discussion. This study’s descriptive classification can also serve as a guide for new researchers who seek to understand the research involving decision support systems and big data to gain value in our society.

Decision support systems for water management: The Lake Como case study

1985 ◽  
Vol 21 (3) ◽  
pp. 295-306 ◽  
Author(s):  
Giorgio Guariso ◽  
Sergio Rinaldi ◽  
Rodolfo Soncini-Sessa
Keyword(s):  
Water Management ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems
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