Analysis of Economic Indicators of Complex Production Processes
DOI:
https://doi.org/10.14419/ijet.v7i3.5.15189Published:
2018-07-07Keywords:
methodology, economic indicators, complex production processes, technology parameters.Abstract
The article describes the methodology for describing the economic indicators of management effectiveness and decision-making under conditions of complex multi-stage productions. The algorithm and the forecast model of the need for production resources are presented, that allow providing more complete information on costs and help in pricing for various products, significantly reducing the response time to economic and technological situation changes. Characteristics of technology parameters are linked to a multi-stage production process. As the semi-finished product passes through the processing stages, the values of the technological factors are fixed. Methods for estimating the influence of parameters of complex spatially-distributed systems on costs are presented. Important elements of costs that affect the product value are determined. Detailing the cost elements for the technological operations under study is carried out, the boundaries, where the largest amount of resources is spent, are determined.
References
[1] Abdullah L.S, Korneev A.M, Smetannikova T.A. Structural cell-hierarchical identification of complex spatially distributed production systems // Proceedings of the 3rd International Academic Conference. 2013, St. Louis, Missouri, USA. С.75-79.
[2] Korneev, A. M. Methods for the identification of cross-cutting technology production of steel products: monograph / Lipetsk state pedagogical University. - Lipetsk: LGU, 2009. - 286 p.
[3] Korneev, A. M. cellular Structural-hierarchical modeling of complex prostranstvenno-distributed systems. - News of higher educational institutions of the Central Chernozem region, 2011, No. 1, pp. 62-66.
[4] Kuznetsov, L. A., A. Korneev, M. Automated system of selecting the optimal technology for the production of steel. - Izvestiya vuzov. Ferrous metallurgy, 1994, No. 5, pp. 45-48.
[5] Stratonovich, R. L. Theory of information. - Moscow: Sov. radio, 1975. - 424 p. Korneev, A. M. the Use of information criteria connection input and output variables for the selection of optimal technologies - Izvestiya vuzov. Ferrous metallurgy, 2004, No. 9, p. 48 -52.
- M. Shmyrin, I. A. Sedykh, Identification and Control Algorithms of Functioning for Neighborhood Systems Based on Petri Nets, Automation and Remote Control, 2010, Volume 71, Issue 6, p. 1265-1274.
[6] S.L. Blyumin, A.M. Shmyrin, O.A. Shmyrina. Bilinear Neighborhood Systems. Monograph. Lipetsk, Lipetsk State Technical University Publishers, 2006. 131 p, (in Russian).
[7] A.M. Korneev, L.S.Abdullakh, T.A. Smetannikova, CRITERION FOR ASSESSING THE EFFECTIVENESS OF FUNCTIONING OF COMPLEX SYSTEMS BASED ON THE USE THE AMOUNT OF INFORMATION, International Journal of Applied Engineering Research. 2015. Т. 10. № 11. С. 27961-27980.
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Accepted 2018-07-06
Published 2018-07-07