scholarly journals CONCEPTUAL APPROACH TO THE CONSTRUCTION OF A MONITORING CENTER FOR DETECTION, PREVENTION AND ELIMINATION OF THE CONSEQUENCES OF COMPUTER ATTACKS

2021 ◽  
Vol 7 (1(37)) ◽  
pp. 40-43
Author(s):  
Sergey Alexandrovich Golitsyn ◽  
Anastasia Dmitrievna Shulzhenko
Keyword(s):  
Decision Support ◽  
Functional Diagram ◽  
Conceptual Approach ◽  
Machine System ◽  
Computer Attacks ◽  
Monitoring Center

This article discusses the issues of organizing a monitoring center for a system for detecting, preventing and eliminating the consequences of computer attacks as a man-machine system with integrated automated decision support. A conceptual approach to building a system and its functional diagram, tasks and procedures are proposed.

scholarly journals System Analysis of Decision Support in the Design of a Secondary School Network

2020 ◽  
Vol 26 (3) ◽  
pp. 363-370
Author(s):  
V. G. Mokrozub ◽  
◽  
S. A. Rachkova ◽  
F. I. Vshivkov ◽  
◽  
...  
Keyword(s):  
Decision Support ◽  
Secondary School ◽  
Secondary Schools ◽  
Optimization Problem ◽  
System Analysis ◽  
Functional Diagram ◽  
Information Models ◽  
School Network ◽  
The Russian Federation ◽  
Functional Blocks

The article describes the elements of the project of an automated decision support system in the design of a network of secondary schools: a functional diagram, a functional presentation, the problem of optimizing a network of secondary schools by the criterion of their total cost. The functional diagram is presented in IDEF0 format and contains a description of all information flows. The functional view defines the information models required to execute IDEF0 functional blocks. The optimization problem describes the initial data, solution results and restrictions set by regulatory documents for the implementation of educational activities in the Russian Federation.

A Demand-Driven Cloud-Based Business Intelligence for Healthcare Decision Making

2017 ◽  
pp. 964-979
Author(s):  
Shah Jahan Miah
Keyword(s):  
Decision Support ◽  
Business Intelligence ◽  
Technology Development ◽  
System Development ◽  
Well Being ◽  
End Users ◽  
Conceptual Approach ◽  
Healthcare Decision Making ◽  
Intelligent Decision ◽  
Technological Intervention

Technology development for process enhancement has been a topic to many health organizations and researchers over the past decades. In particular, on decision support aids of healthcare professional, studies suggest paramount interests for developing technological intervention to provide better decision-support options. This chapter introduces a combined requirement of developing intelligent decision-support approach through the application of business intelligence and cloud-based functionalities. Both technological approaches demonstrate their usage to meet growing end users' demands through their innovative features in healthcare. As such, the main emphasis in the chapter goes after outlining a conceptual approach of demand-driven cloud-based business intelligence for meeting the decision-support needs in a hypothetical problem domain in the healthcare industry, focusing on the decision-support system development within a non-clinical context for individual end-users or patients who need decision support for their well-being and independent everyday living.

A Demand-Driven Cloud-Based Business Intelligence for Healthcare Decision Making

2014 ◽  
pp. 324-339 ◽  
Author(s):  
Shah Jahan Miah
Keyword(s):  
Decision Support ◽  
Business Intelligence ◽  
Technology Development ◽  
System Development ◽  
Well Being ◽  
End Users ◽  
Conceptual Approach ◽  
Healthcare Decision Making ◽  
Intelligent Decision ◽  
Technological Intervention

Technology development for process enhancement has been a topic to many health organizations and researchers over the past decades. In particular, on decision support aids of healthcare professional, studies suggest paramount interests for developing technological intervention to provide better decision-support options. This chapter introduces a combined requirement of developing intelligent decision-support approach through the application of business intelligence and cloud-based functionalities. Both technological approaches demonstrate their usage to meet growing end users' demands through their innovative features in healthcare. As such, the main emphasis in the chapter goes after outlining a conceptual approach of demand-driven cloud-based business intelligence for meeting the decision-support needs in a hypothetical problem domain in the healthcare industry, focusing on the decision-support system development within a non-clinical context for individual end-users or patients who need decision support for their well-being and independent everyday living.

A Decision Support System for a Concurrent Design of Cable Harnesses: Conceptual Approach and Implementation

1998 ◽  
Vol 6 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Catherine Cerezuela ◽  
Aline Cauvin ◽  
Xavier Boucher ◽  
Jean-Paul Kieffer
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Concurrent Design ◽  
Conceptual Approach

scholarly journals The framing of decision making support systems on increasing community resilience in disaster risk reduction efforts: a conceptual approach

2021 ◽  
Vol 331 ◽  
pp. 04012
Author(s):  
Putranesia Thaha ◽  
Febrin Anas Ismail
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Support Systems ◽  
Regulatory System ◽  
Community Resilience ◽  
Disaster Risk ◽  
Governance System ◽  
Conceptual Approach

This research begins by comprehensively exploring previous research related to community resilience and what steps are used to increase community resilience in reducing disaster risk. Conceptually, it is known that the fatigue model accumulated by the time system, infrastructure system, governance system, regulatory system, and hazard system for disaster risk reduction is often associated with weakening community resilience. It is often associated with catastrophic events, which are sometimes predictable and unpredictable. In manual decision-making, people are aware of the inconsistency of subjective decisions. A decision support system hypothesizes that it will take less time to explore data to make faster and more informed decisions. As a result of this concept, it is possible to reduce the number of wrong choices when dealing with disaster risk reduction issues. In terms of disaster risk reduction, the power of decision support systems is discussed in this paper to find a framework for its effectiveness as relative decision making will differ on different dimensions of Resilience.

scholarly journals The System Analysis of Decision Support in the Development of a Network of Gas Filling Stations

2021 ◽  
Vol 27 (2) ◽  
pp. 203-211
Author(s):  
A. A. Evstifeev
Keyword(s):  
Decision Support ◽  
Natural Gas ◽  
System Analysis ◽  
Software Tools ◽  
Functional Diagram ◽  
Information Flows ◽  
Industrial Equipment ◽  
Regional Network ◽  
And Topology ◽  
And Control

The article describes the elements of the project for the development of software tools for automating decision support processes when planning measures for the development of a regional network of automobile gas filling compressor stations: diagrams of the design and construction of gas filling stations; the problem of finding places for the rational placement of gas filling stations according to the criteria of process (industrial equipment parameters), structure, cost and topology optimality. The functional diagram contains a description of all information flows and control flows. A variant of the solution of the problem of placing objects of transportation with natural gas, using an algorithm of directed enumeration of variants of solutions, is proposed.

scholarly journals SERVICE MODULARISATION COMPATIBILITY TO ORGANISATIONAL OBJECTIVES

2021 ◽  
Author(s):  
Ilona SKAČKAUSKIENĖ ◽  
Jurga VESTERTĖ
Keyword(s):  
Decision Support ◽  
Research Methodology ◽  
Relevant Literature ◽  
Decision Support Tool ◽  
Conceptual Approach ◽  
Future Directions ◽  
Support Tool ◽  
Service Organisation ◽  
Performance Results ◽  
Practical Implications

Purpose – the article aims to explore how service modularisation objectives are compatible with organisa- tional objectives. Research methodology – the paper is a part of continuous research. It takes a conceptual approach and integrates rele- vant literature to develop a framework on the potential avenues to create a decision-support tool that assists in service modularity planning. The research proceeds with evidence from the peer-reviewed literature. The relevant literature was identified through “pearl growing” and citation chasing techniques using the assembled body of topic literature from authors’ previous research and employing the related keywords for filtering. Findings – the previous literature is silent on establishing objectives for service modularisation with the consideration of what a provider will achieve by engaging in this. The paper addresses this gap and discovers how antecedents of service modularisation transform into organisational objectives. Research limitations – although bibliographic research methods are limited, they enable the analysis and identification of structure within the research. Such analysis has implications by suggesting future directions in investigating how modularity approach can be used in the service context and how it can be applied in practice more actively. Practical implications – the findings provide potentially vital information to service organisation managers and allow better understand how service modularisation would benefit performance results in gaining service competitiveness. Originality/Value – the study contributes to the discourse on service modularity planning and provides a basis for comprehension of service modularisation merit when pursuing competitiveness.

Failure Management

2021 ◽  
Author(s):  
William B. Rouse
Keyword(s):  
Decision Support ◽  
System Design ◽  
Case Studies ◽  
Conceptual Design ◽  
Integrated Approach ◽  
Conceptual Approach ◽  
Multi Level ◽  
Blank Slate ◽  
Cutting System ◽  
Case Based

Failures are common phenomena in civilization. Things fail and society responds, often very slowly, sometimes inappropriately. What kinds of things go wrong? Why do they go wrong? How do people and organizations react to failures? What are the best ways to react? This book addresses these questions. The analytic approach to these questions is case based and addresses 18 well-known cases of failures. A multi-level framework is employed to integrate findings across the case studies. These findings are employed to outline a conceptual approach to integrated failure management. The overarching conclusion is that the conceptual design of an integrated approach to failure management can encompass all of the 18 case studies. They all would have benefitted from the same conceptual decision support architecture. This enables cross-cutting system design principles and practices, assuring that failure management in every new domain and context need not start with a blank slate.

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