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 Görüntüleme 10
 İndirme 2
Web­oriented decision support system for planning agreements execution
2018
Dergi:  
Eastern-European Journal of Enterprise Technologies
Yazar:  
Özet:

The problem of construction of the web-based decision support system when planning the execution of agreements at service-rendering enterprises is considered. Characteristics of operations of such enterprises are explored. The improved mathematical model for the problem of agreements execution planning was constructed and the criteria for evaluation of effectiveness of the resulting variant of the solution were determined. The use of the additive convolution of a particular criterion with setting priorities of meeting each of them was applied as estimation of effectiveness of execution variant. The combined algorithm for solving the problem on planning was developed, aimed at taking into account the features of the subject area. In order to use the combined algorithm, it is proposed to represent the input data in the form of a multi-layer graph, each layer of which corresponds to the working time of one executor, and nodes determine the synchronization points between the layers. During designing a combined algorithm, the elements of the ACO algorithm and of the genetic algorithm were used. The DSS structure for agreement execution planning was proposed, and the technologies, used for its implementation, were considered. The users’ interface of the system was presented. The developed decision support system provides support for the management functions during planning and enables the in-depth analysis of situations, their evaluation and selection of the optimal variant of the plan, performing all preparatory actions and forming ready solutions. The created system is web-based, which allows using it at any place with the Internet access. Author Biographies Serhii Hrybkov, National University of Food Technologies Volodymyrska str., 68, Kyiv, Ukraine, 01601 PhD, Associate Professor Department of Information Systems

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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