Design of Intelligent Information Support Systems for Human-Operators of Complex Plants

2008 ◽  
Vol 41 (2) ◽  
pp. 2162-2167 ◽  
Author(s):  
E.Ph. Jharko
Keyword(s):  
Support Systems ◽  
Information Support ◽  
Human Operators ◽  
Intelligent Information

Understanding Based Managing Support Systems

2010 ◽  
pp. 91-102
Author(s):  
Lidia Ogiela ◽  
Ryszard Tadeusiewicz ◽  
Marek R. Ogiela
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Semantic Analysis ◽  
Support Systems ◽  
Expert Knowledge ◽  
Management Support ◽  
Economic Data ◽  
Economic Information ◽  
Management Support Systems ◽  
Intelligent Information

This publication presents cognitive systems designed for analysing economic data. Such systems have been created as the next step in the development of classical DSS systems (Decision Support Systems), which are currently the most widespread tools providing computer support for economic decision-making. The increasing complexity of decision-making processes in business combined with increasing demands that managers put on IT tools supporting management cause DSS systems to evolve into intelligent information systems. This publication defines a new category of systems - UBMSS (Understanding Based Management Support Systems) which conduct in-depth analyses of data using on an apparatus for linguistic and meaning-based interpretation and reasoning. This type of interpretation and reasoning is inherent in the human way of perceiving the world. This is why the authors of this publication have striven to perfect the scope and depth of computer interpretation of economic information based on human processes of cognitive data analysis. As a result, they have created UBMSS systems for the automatic analysis and interpretation of economic data. The essence of the proposed approach to the cognitive analysis of economic data is the use of the apparatus for the linguistic description of data and for semantic analysis. This type of analysis is based on expectations generated automatically by a system which collects resources of expert knowledge, taking into account the information which can significantly characterise the analysed data. In this publication, the processes of classical data description and analysis are extended to include cognitive processes as well as reasoning and forecasting mechanisms. As a result of the analyses shown, we will present a new class of UBMSS cognitive economic information systems which automatically perform a semantic analysis of business data.

scholarly journals Maturity Assesment: A Case of Micro and Small Service Enterprises

2017 ◽  
Vol 13 (16) ◽  
pp. 49 ◽  
Author(s):  
Blanca, Carballo-Mendivil ◽  
Alejandro, Arellano-Gonzalez ◽  
Nidia Josefina, Ríos-Vazquez
Keyword(s):  
Service Sector ◽  
Business Processes ◽  
Support Systems ◽  
Quantitative Approach ◽  
Information Support ◽  
Level Of Service ◽  
Maturity Level ◽  
The North ◽  
Selection Of ◽  
Purchasing Process

High percentages of Micro and Small-sized enterprises (MSEs) perish in their initials years of business. That is why various efforts have been made to know their operation and improve it. However those proposals of improvement are mostly based in reductionist diagnostics that limit the understanding of their business processes. This paper presents an integral diagnostic of MSEs, specifically in the service sector in the north of Mexico, through which the maturity level of its processes is determined. The design was descriptive exploratory with a quantitative approach. A rubric-type instrument was applied, which was designed to perform an integral diagnosis and measure the maturity level of the processes in 140 companies. The results indicate that the maturity levels of the business processes in the service sector are mostly craft-like. The elements with the lowest maturity levels include service assessment as part of management, the capacity to design new services/processes, evaluation and selection of suppliers, and improvements to the purchasing process that can assure an appropriate level of service. The need to implement improvement projects in areas related to planning, monitoring, control and information support systems were also detected. The main contribution of this work is having defined the service sector of the municipality where the organizations under study are located, which will help entrepreneurs in the sector, to improve their knowledge on the area in which they operate; researchers decide to make more contributions to the sector; and clients obtain information about the business they purchase from.

scholarly journals Using the unit software model to improve design solutions and optimize process management

2021 ◽  
Vol 7 (1) ◽  
pp. 33-39
Author(s):  
Dmitry B. Statsura ◽  
Maksim Yu. Tuchkov ◽  
Pyotr V. Povarov ◽  
Aleksandr I. Tikhonov ◽  
Sergey P. Padun ◽  
...  
Keyword(s):  
Power Unit ◽  
Power Plants ◽  
Support Systems ◽  
Information Support ◽  
Automatic Process ◽  
Standard Process ◽  
Improve Design ◽  
Software Model ◽  
Process Documentation ◽  
Design Solutions

Advanced design power units are distinguished by a high degree of digital transformation. Therefore, of particular interest are operator information (intelligent) support systems, which can reduce the workload on operating personnel as well as predict possible deviations long before they evolve into severe emergencies. The article analyzes the current standard process documentation that requires solutions to support the operator and determines the list of system functions that should be provided to improve the safety level of nuclear power plants. A brief overview of the world experience in implementing such solutions is also provided. As an example of the further development of operator support systems, the authors consider the operator information support system (OISS), which is being developed at the NvNPP pilot unit with the VVER-1200 reactor. The OISS functions will make it possible to fulfill the requirements of standard process documentation that are currently not implemented in the power unit design. The key features of the OISS under development are step-by-step interactive procedures and the unit software model. The authors provide a brief description of the power unit software model and consider several examples of its practical application as part of the OISS to improve design solutions and optimize automatic process control. In the years ahead, it is proposed to implement the OISS at power units under construction in order to reduce the information overload of operators and create conditions for a step-by-step increase in the automation level of the power unit control.

Measurement Issues in Decision Support Systems

2011 ◽  
pp. 2530-2536
Author(s):  
William K. Holstein ◽  
Jakov Crnkovic
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Enterprise Resource Planning ◽  
Support Systems ◽  
Resource Planning ◽  
Customer Relationship ◽  
Information Support ◽  
Easy Access ◽  
External Sources ◽  
Diverse Data

The past decade has seen tremendous progress in systems for information support–flexible and adaptable systems to support decision makers and to accommodate individual needs and preferences. These model- or data-driven or hybrid decision support systems (DSS), now often called business intelligence (BI) systems, incorporate diverse data drawn from many different internal and external sources. Increasingly, these sources include sophisticated enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, data warehouses and other enterprise-wide systems that contain vast amounts of data and permit relatively easy access to that data by a wide variety of users at many different levels of the organization. Decision support, DSS and BI have entered our lexicon and are now common topics of discussion and development in large, and even in medium-sized, enterprises. Now that DSS is well established, attention is turning to measurement and the metrics that populate such systems.

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