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 Görüntüleme 22
 İndirme 3
Information technology for performance management of industrial production
2015
Dergi:  
Eastern-European Journal of Enterprise Technologies
Yazar:  
Özet:

A methodology for the automated performance management of life cycle processes of industrial products in the form of a set of data management methods, developed mathematical models, knoware, dataware and software, complex information, functional and simulation modeling is proposed. On the example of preproduction engineering processes, formal presentation of information objects "Product", "Resource", "Process" is shown, their key activity indicators and key performance management indicators are singled out. After the peer review and valuation of indicators, a model of the target function for determining the level of the management performance indicator was obtained. The method for assessing the PE quality, which, unlike existing ones, determines the effectiveness of processes executed in a particular period of time, calculates the PE stability and determines the necessary corrective actions was developed. A new concept of the management index was introduced and its mathematical model was presented. The mathematical model for determining the required number of specialists was developed. A functional, information and simulation modeling was carried out. The method of the PE analysis and performance management was presented. Architectural solutions of the developed information technology, development features of dataware and software and the practical use of the results were described. The possibility of the automated performance management of the industrial production of a particular enterprise in real-time with the assessment of production processes and subsequent adjustment was proved. Specialists and managers of enterprises can obtain tools to control basic production activity indicators of their enterprises. Author Biographies Петро Миколайович Павленко, National Aviation University Prospect Komarova, 1, Kyiv, Ukraine, 03680 Doctor of Technical Sciences, Professor Director of information and diagnostic systems of scientific and technical work

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Eastern-European Journal of Enterprise Technologies

Alan :   Fen Bilimleri ve Matematik

Dergi Türü :   Uluslararası

Metrikler
Makale : 4.764
Atıf : 4.485
2023 Impact/Etki : 0.294
Eastern-European Journal of Enterprise Technologies