Search results for "decision support"
showing 10 items of 377 documents
Novel Energy Modelling and Forecasting Tools for Smart Energy Networks
2015
A novel Energy Modelling and Forecasting Tool (EMFT) has been adopted for use in the VIM SEN (Virtual Microgrids for Smart Energy Networks) project and this paper gives an insight of the techniques used to provide vital support to the energy market, in particular to energy aggregators. A brief description of one of the test sites where data has been collected for validation of the EMFT will be outlined and some examples shown. The information and predictions will then be used by a decision support system to dynamically adjust energy delivery and consumption, by giving advice to users and operators on actions they can take to obtain a better match between energy supply and demand that increa…
Interactive Decision Aids
2011
Decision support systems assist people in making a decision or choosing a course of action in a nonroutine situation that requires judgment (Haubl and Trifts 2000; Kasper 1996). In online webstores, vendors can easily offer highly interactive types of decision support. These co-called interactive decision aids (IDA) “help consumers in making informed purchase decisions amidst the vast availability of online product offerings” (Wang and Benbasat 2009, p. 3). However, the application of IDA is not restricted to purchase decisions. They are general enough to be of use in any kind of choice task where alternatives are known.
An Intelligent System for Decision Support in Bioinformatics
2011
The enormous array of computational techniques and data available due to today's use of high-throughput technologies can be quite overwhelming for researchers investigating biological problems. For any problem, there are many possible models and algorithms giving different results. We present a new Intelligent System that supports the selection, configuration and operation of strategies and tools in the bioinformatics domain. The Institute for High Performance Computing and Networking (ICAR-CNR) and the University of Palermo are developing an intelligent system that supports bioinformatics research. The system guides the researcher in building a data analysis workflow and acts as an interfa…
A Rule-Based Multi-agent System for Local Traffic Management
2009
Road Traffic presents a high dynamism which makes necessary the development of traffic management and control strategies to improve traffic flows and more important, road safety. So it is needed the use of intelligent systems to support traffic organizations and road operators to cope with incidents. In this paper we introduce a local autonomous system for traffic management. This way, though there could be a breakdown in the communications between the local system and the TCC, the local system will be able to warn the road users in case of incidents. The system uses multiagent technology to work with the specific characteristics of traffic domain. The expert MAS system is ruled-based that …
The ELECTRE I method to support the FMECA
2018
In traditional Failure Modes, Effects and Criticality Analysis (FMECA), risk priorities of failure modes are determined through the Risk Priority Number (RPN), which is a function of the three risk parameters Occurrence (O), Severity (S), and Detection (D). In the present paper, an alternative approach to RPN is proposed for the criticality assessment of system failure modes. Particularly, the Multi-Criteria Decision Making (MCDM) method ELECTRE I is proposed to select the most critical failure mode in the set of the failure modes charactering a complex system. The method has been applied to a case study previously proposed by Zammori and Gabrielli (2012).
A Decision support system for sustainable operations management in small power plants
2014
The importance of environmentally-friendly electricity production is recognized as one of the most important challenges of our future, covering a broad context of research topics and promoting future scenarios based on renewable energies and new technologies. In the short term, however, energy generation will still be largely relying on power plants fired with fossil fuels whose emissions of pollutants are regulated by the industrial emissions directive in the EU legislation. Such directive does not apply to small and medium combustion plants, which until now, have only been subject to national regulations. As part of its air quality package from December 2013, the EU Commission has propose…
A multi-scenario Decision Support System for real-time operation of over-year multi-reservoir system 2. DSS simulation
2019
A companion paper (Arena et al, 2019) has introduced the architecture of the DSS and has described its governing equations. In a real-time, dynamic decision-making context, it is a tool to support decisions at the current time step concerning water allocations to municipal demand centres and irrigation districts as well as additional intakes from costly water sources in a water resources system featuring reservoirs with over-year behaviour. The DSS is designed as a linearized MIP (mixed integer programming) optimization model and as such, it includes an objective function and constraints on 1) mass balances at system’s nodes, 2) systems’ topology, 3) component’s capacity, 4) spills, as well…
An expert system for vineyard management based upon pervasive computer technologies
2009
Determining the optimal maturity level for performing viticulture operations and harvesting activities is a difficult task, because, depending on the variety, the climatic conditions and cultural practices, the phenologic maturation process occurs at different times. Recently, ubiquitous computing technologies allow an extremely precise and cost effective monitoring of environmental conditions by means of an RFID based sensor networks. The implementation of such technologies in vineyard management is nowadays under development, however, besides the possibility of gathering data, the need is perceived of developing decision support tools to fully exploit the potential opportunities of these …
Understanding Decision Support in Large-Scale Disasters: Challenges in Humanitarian Logistics Distribution
2017
Disasters are characterized by conflicting, uncertain, or lacking data. Nevertheless, humanitarian responders need to make rapid decisions. This is particularly true for the immediate response to a sudden onset disaster. Since most humanitarian decision support systems (DSS) make important assumptions on data availability and quality that are often not fulfilled in practice, decision-makers are largely left to their experience. In this paper, we identify three major challenges for an operational DSS to support distribution planning: (i) deep uncertainty; (ii) reflecting field conditions and constraints; and (iii) rapid humanitarian logistics modeling. We review the relevant theories and pro…
Requirements for Relief Distribution Decision-Making in Humanitarian Logistics
2020
Making efficient and effective decisions in the chaotic environment of humanitarian relief distribution (HRD) is challenging. Decision-makers need to concentrate on numerous decision factors categorized into decision objectives, variables, and constraints. Recent HRD literature focuses on optimizing procedures while neglecting the quantification of essential requirements (decision factors) for information systems to provide decision-making support. In this article, we address this gap by accumulating affecting decision factors from both literature and practice. We investigated the practical implications of these factors in HRD decision-making by measuring the preferences of a Delphi panel c…