Modelling of Decision-Making Process Relating to Design for Maintainability of Complex Technical Items

2008 ◽  
Author(s):  
Wieslaw Tarelko
Keyword(s):  
Decision Making ◽  
Power Plants ◽  
General System ◽  
Design System ◽  
Decision Making Process ◽  
General Description ◽  
Computer Aided ◽  
Decision Making System ◽  
Design For Maintainability

This paper deals with modelling issues of the decision-making process relating to design for maintainability of complex technical items. Especially, we presented the formal notation of a decision-making system, its elements and functions, and general description as well. Moreover, some application examples of design for the maintainability of such complex technical items as the ship power plants are presented. For development of the decision-making system, we applied a concept of the Mestrovic’s general system. Based on this system, we have worked out the computer-aided system called Maintainability Design System for ship power plants.

Democracy over power? The democratic decision-making process in the case of the attempted privatization of Estonia’s power production

2018 ◽  
Vol 51 (4) ◽  
pp. 361-373
Author(s):  
Anna Khakee
Keyword(s):  
Decision Making ◽  
Trade Unions ◽  
Power Plants ◽  
Single Case ◽  
Decision Making Process ◽  
Playing Field ◽  
Business Interests ◽  
Economic Decisions ◽  
The Us ◽  
Us Government

The suspense-filled attempted partial privatization of the Narva Power Plants in the neo-liberal darling Estonia involved a rich cast, from trade unions and local scientists, via Estonian courts and ombudsmen to international consulting firms, major global banks and the US government. More important, a detailed single case study on the democratic decision-making process in this privatization case makes it possible to go beyond common generalizations regarding the consequences of neo-liberalism for democratic processes. It shows that purported proponents of economic neo-liberalism such as the US government sometimes use their arguments to advance the narrow business interests of politically well-connected firms. Established private firms can behave in a more rent-seeking manner than publicly owned, ex-communist companies. Liberal economic principles of open competition and a level playing-field are at times used by actors in the democratic process to question top-down, opaque economic decisions.

scholarly journals Modelling Decision Making under Uncertainty for Strategic Forecasting

2019 ◽  
Vol 8 (3) ◽  
pp. 7251-7255
Keyword(s):  
Decision Making ◽  
Economic Activity ◽  
Detrimental Effect ◽  
Decision Making Under Uncertainty ◽  
Decision Making Process ◽  
Insufficient Information ◽  
High Quality ◽  
Decision Making System ◽  
Specific Management ◽  
Selection Of

In current market conditions, the key to productive economic activity is the ability to provide a high-quality forecast, even in situations of insufficient information. Strategic forecasting refers to this type of activity, errors in which the actions of any company can have a detrimental effect on the fundamental level. The justification and selection of specific management decisions can often be carried out in conditions of uncertainty due to the inability to clearly predict the values of the final results of these decisions. The decision-making system within the framework of the strategic forecasting task should help maintain the effectiveness of actions by simplifying the picture of the real world by modelling it. While allowing to reduce the influence of the subjectivity of the personality of the decision-maker on the decision-making process itself

Computer-Aided Decision-Making System for Endometrial Atypical Hyperplasia based on Multimodal & Multi-Instance Deep Convolution Networks

2021 ◽  
Author(s):  
Xin Liao ◽  
Qingli Li ◽  
Xin Zheng ◽  
Jin He
Keyword(s):  
Decision Making ◽  
Deep Learning ◽  
Atypical Hyperplasia ◽  
Diagnosis And Treatment ◽  
Small Scale ◽  
Prognostic Analysis ◽  
Computer Aided ◽  
Decision Making System ◽  
Suspected Lesion ◽  
Computer Aided Decision

Abstract The pathological diagnosis is the gold standard for neoplasms and their precursors, which is highly relevant to the treatment planning and the prognostic analysis. Currently, deep learning networks have been used for the pathological computer-assisted diagnosis and treatment decision-makings. However, due to extremely large size of the whole slide images (WSIs) of pathological slides, the prevailing deep learning models are un-applicable directly in the WSIs analysis. Moreover, the precise exclusion of the blank regions and interfere regions, as well as the manual annotation of various lesioned and normal regions in super large WSIs are infeasible and unavailable in clinical practice. To address aforementioned problems, we develop an computer-aided decision-making system based on multimodal and multi-instance deep convolution networks (CNN) to assist in the diagnosis and treatment of endometrial atypical hyperplasia (AH)/ endometrial intraepithelial hyperplasia (EIH). Firstly, we set up the frame-work of computer-aided decision-making system based on the WSIs image patterns of AH/EIH, and then transfer the large-scale WSI analysis to the small-scale analysis of multiple suspected lesion regions which can be accomplished the major computer vision models, and eventually the results of prognostic analysis for multiple small-scale suspected lesion regions are summarized to obtain the prognostic results of WSIs by the decision supporting algorithm based on the cognition intelligence. We validate the method via experimental analysis of 102 endometrial atypical hyperplasia patients at the West China Second University Hospital of Sichuan University. The performance achieved for endometrial AH/EIH prognostic analysis includes accuracy (85.3%), precision (84.6%), recall (86.3%). Meanwhile, the method has superior performance to prognostic judgment of a single pathologist as well as approximates to analysis results determined by three pathologists according to the majority voting method.

A Framework and Model for Assessing the Design Point Performance, Off-Design Point Performance, Control, Economics and Risks of Brayton Helium Gas Turbine Cycles for Generation IV Nuclear Power Plants

2018 ◽  
Author(s):  
Arnold Gad-Briggs ◽  
Pericles Pilidis ◽  
Theoklis Nikolaidis
Keyword(s):  
Decision Making ◽  
Gas Turbine ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Decision Making Process ◽  
Design Point ◽  
Load Following ◽  
Gen Iv ◽  
Cycle Efficiency

A framework – NuTERA (Nuclear Techno-Economic and Risk Assessment) has been developed to set out the requirements for evaluating Generation IV (Gen IV) Nuclear Power Plants (NPPs) at the design conceptual stage. The purpose of the framework is to provide guidelines for future tools that are required to support the decision-making process on the choice of Gen IV concepts and cycle configurations. In this paper, the underpinning of the framework has been demonstrated to enable the creation of an analyses tool, which evaluates the design of an NPP that utilises helium closed Brayton gas turbine cycles. The tool at the broad spectrum focuses on the component and cycle design, Design Point (DP) and Off-Design Point (ODP) performance, part power and load following operations. Specifically, the design model has been created to provide functionalities that look at the in-depth sensitivities of the design factors and operation that affect the efficiency of an NPP such as temperature and pressure ratios, inlet cycle temperatures, component efficiencies, pressure losses. The ODP performance capabilities include newly derived component maps for the reactor, intercooler and recuperator for long term Off-Design (OD) operation. With regard to short term OD, which is typically driven by changes in ambient conditions, the ability to analyse the cycle load following capabilities are possible. An economic model has also been created, which calculates the component costs and the baseline economic evaluation. An incorporated risk model quantifies the performance, operational, financial and design impact risks. However, the tool is able to optimise the NPP cycle configuration based on the best economics using the Levelised Unit Electricity Cost (LUEC) as a measure. The tool has been used to demonstrate a typical decision-making process on 2 Gen IV helium closed gas turbine cycles, which apply to the Gas-cooled Fast Reactors (GFRs) and Very-High Temperature Reactors (VHTRs). The cycles are the Simple Cycle Recuperator (SCR) and Intercooled Cycle Recuperator (ICR). The tool was able to derive the most efficient cycle configurations for the ICR (53% cycle efficiency) and SCR (50% cycle efficiency). Based on these efficiency figures, the baseline LUEC ($/MWh) for the year 2020 is $62.13 for the ICR and $61.84 for the SCR. However, the inclusion of the cost of contingencies due to risks and the subsequent economic optimisation resulted in a cost of $69.70 and $69.80 for the ICR and SCR respectively.

scholarly journals Penentuan Penerimaan Mahasiswa Baru Pascasarjana Menggunakan Simple Additive Weighting (SAW)

2019 ◽  
Vol 8 (2) ◽  
pp. 121-129
Author(s):  
Febri Hadi ◽  
Dodi Guswandi
Keyword(s):  
Decision Making ◽  
Graduate Students ◽  
Decision Making Process ◽  
Postgraduate Student ◽  
Prospective Students ◽  
Study Programs ◽  
Decision Making System ◽  
Simple Additive Weighting ◽  
Selection Of

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set> 0.70 declared passed, or <0.70 declared not passed.

scholarly journals Visibility Assessment of New Photovoltaic Power Plants in Areas with Special Landscape Value

2022 ◽  
Vol 12 (2) ◽  
pp. 703
Author(s):  
Enrique Zorzano-Alba ◽  
Luis Alfredo Fernandez-Jimenez ◽  
Eduardo Garcia-Garrido ◽  
Pedro M. Lara-Santillan ◽  
Alberto Falces ◽  
...  
Keyword(s):  
Decision Making ◽  
Greenhouse Gas ◽  
Power Plants ◽  
Observation Time ◽  
Decision Making Process ◽  
Photovoltaic Power ◽  
Perception Time ◽  
Landscape Value ◽  
Cultural Interest ◽  
Visual Impact

Power plants based on renewable sources offer environmental, technical and economic advantages. Of particular importance is the reduction in greenhouse gas emissions compared to conventional power plants. Despite the advantages, people are often opposed to the construction of these facilities due to their high visual impact, particularly if they are close to places with a great cultural and/or landscape value. This paper proposes a new methodology for identifying the most suitable geographical areas for the construction of new photovoltaic (PV) power plants in zones of special scenic or cultural interest, helping to keep the environment free from the visual intrusions caused by these facilities. From several repeated analyses, the degree of visibility of the new PV plant, the potential observation time of passing visitors, considering the route they follow and their speed, and the increase in visibility of the plants when seen totally or partially with the sky as background, are determined. The result obtained is a map showing the ranking of the geographical areas based on a variable calculated in such analyses: the Global Accumulated Perception Time (GAPT). The application of this methodology can help the different agents involved in the decision-making process for the installation of new PV plant by providing them with an objective visibility criterion.

A Method for Estimating Prognosis Based on Physician’s Decision-Making Process

1981 ◽  
Vol 20 (04) ◽  
pp. 202-206 ◽  
Author(s):  
Ch. P. Peev ◽  
S. Kaihara
Keyword(s):  
Decision Making ◽  
Statistical Models ◽  
Cerebrovascular Diseases ◽  
Medical Data ◽  
The Other ◽  
Decision Making Process ◽  
Empirical Risk ◽  
Computer Aided ◽  
Aided Diagnosis ◽  
Measure Error

Different diagnostic rules for computer-aided diagnosis are based on different mathematically precise statistical models. In practice, however, the medical data cannot meet the requirements set for the models and, in some cases, the model precision loses its advantages. On the other hand, physicians make their decisions without mathematical precision according to some statistics based on their own experiences.In this study, the physician’s process of estimating prognosis of diseases was analyzed and a method for estimating prognosis based on the physician’s decision-making process was proposed. Problems such as collection of informative symptoms, their estimation and weighting, and physician’s decision were considered. The decisionmaking function obtained from the analysis was applied for estimating the prognosis of cerebrovascular diseases. The choice of informative symptoms was based on Kullback’s information measure. Error estimation was made by using the minimum empirical risk method. The proposed method seemed to provide a smaller error rate, as compared to discriminant analysis under identical conditions (same sample, same informative symptoms).

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