Algorithms of Cause-and-effect Approach to Increase Service Net Efficiency
Engineering and Applied Sciences
Volume 5, Issue 2, April 2020, Pages: 34-40
Received: Jul. 22, 2019;
Accepted: Aug. 29, 2019;
Published: Mar. 23, 2020
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Alexey Anatolievitch Bezrodny, Faculty of Design, Construction and Exploitation of Pipeline Transport Systems, Gubkin University, Moscow, Russia
Anatoliy Mikchailovitch Korolenok, Faculty of Design, Construction and Exploitation of Pipeline Transport Systems, Gubkin University, Moscow, Russia
Aleksandr Fedorovitch Rezchikov, Institute of Control Sciences Named After V.A. Trapeznikov, Moscow, Russia
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Service nets distribute goods and services that is why their improvement is one of the important tasks of any production chain. There is many models related to the sphere however, in many of them it is possible to see some weaknesses. At the same time since the task mentioned is complicated and large scaled some systematical approach should be applied that needs to be modified taking into consideration presence in the systems objects, processes, events and phenomena of various nature and origin. As possible approach one consideres so called cause-and-effect one that provides a universal description of complex systems and possibility of descision making in undefined or under-defined situations. In the artcile below this approach is considered and informational logic diagrams and algorithms to increase service net efficiency are presented. Gas stations were taken as examples and sphere of practical application, that results are discussed.
Algorithm, Complex System, Service Net, Causal-and-effect, Petroleum
To cite this article
Alexey Anatolievitch Bezrodny,
Anatoliy Mikchailovitch Korolenok,
Aleksandr Fedorovitch Rezchikov,
Algorithms of Cause-and-effect Approach to Increase Service Net Efficiency, Engineering and Applied Sciences.
Vol. 5, No. 2,
2020, pp. 34-40.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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