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EN
The process implementing of modern information systems in medium and large enterprises, more and more often is associated with a number of problems that can occur already at the planning stage. Often incorrect or incomplete separation of problem factors causes that the procedure of implementation of such a system can significantly lengthen, and in the worst case end in failure. Therefore, a crucial part of this process, it is possible to determine the potential problems and consequences thereof already at an early stage in the project. Modern technologies of artificial intelligence are increasingly becoming an indispensable tool supporting decisionmaking in different areas of economic activity. In the following work was analyzed the effectiveness of the use of an expert system in the implementation of information systems based on the skeletal system PC-SHELL. On the basis of research was developed scheme of building the knowledge base for future expert system to support the implementation of the information systems.
EN
Collective water supply system (CWSS) belongs to the so called critical infrastructure with a priority importance for urban agglomerations. The draft of European standard Security of drinking water supply. Guidelines for risk and crisis management defines the concept of risk in CWSS and principles of management and protection in crisis situations. In the paper, a method for estimating the risk of failure in CWSS, based on the assumptions of classical matrix methods while information from the system operation is inaccurate, was proposed. The proposed method is based on fuzzy logic, which allows one to incorporate incomplete data and develop a risk evaluation system.
EN
In the paper, the technical risk has been evaluated for the sewage network of a city in Southern Poland. The basis for calculations were field studies concerning operation of the said network, with the focus on technical data (network type, length, materials, size) and the failure rate information (type and duration of failure, unwanted event frequency). A two-dimensional matrix for failure risk in the pipelines was prepared with consideration to the type of pipeline and the material, as well as a risk map for pipeline malfunction. Obviously, the number of factors may be extended. In order to perform such analyses and add new factors, an appropriate database is needed, while in the case of sewage systems there is still little data collected. The evaluated risk of failure for the studied network was discovered to be in the tolerated and controlled-risk groups. The matrices and technical risk maps can prove to be useful in the process of optimizing the operation of the sewage network, e.g. in planning and executing repair works.
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