Construction of a method for the structural functional-cost modeling of a complex hierarchic system
DOI:
https://doi.org/10.15587/1729-4061.2020.195379Keywords:
structural functional-cost models, complex hierarchical systems, functional-cost calculations, approximating functionsAbstract
A method has been proposed for the structural functional-cost modeling of a complex hierarchical system. The initial data for carrying out calculations directly based on the functional-cost model have been determined. We have proposed and substantiated the cost description of a complex system and its components by using analytical approximating dependences. An example of the functional-cost algorithm has been given that employs a Lagrange multiplier method for complex systems with a serial combination of its separate parts. The solution to the example is the distribution among the desired probabilities of the effective operation of individual parts in terms of the minimum cost. Deriving such distribution does not require absolute values of the cost of both parts and the entire system. The issues addressed in the cost rationalization include the following: ensuring the predefined level of the functional perfection of a system at its minimum cost; determining the minimum required level of functional excellence in a single link at the known levels of functional excellence of the system and all other links except the one under investigation; determining the required number of parallel operating links for the same purpose; clarification of the required level of the functional perfection of links (information sensors, information processing links, communication channels) that have parallel communication; the structural improvement of a complex system by selecting a link within the system for which the improvement of functional perfection can be realized at minimum cost. We have proposed rules for the structural rationalization of a complex system. The first of them is the rule of the rational structural structure of a complex system. That makes it possible to receive a sufficient benefit from the complex system at minimum cost. The second rule is the expediency of complicating a complex system. According to it, complicating a complex system is advisable only if it improves the functional perfection of the entire complex system. The third rule, a rule of the proper structure, shows that there are no unnecessary links in the complex system, that is, those links that do not perform any activities that are not functionally required by a given systemReferences
- Good, H., Machol, R. (1957). System Engineering. An introduction to the design of large-scale systems. McGraw-Hill, 512.
- Lee, J., Kim, J., Ko, W. (2019). Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method. Applied Sciences, 9 (6), 1231. doi: https://doi.org/10.3390/app9061231
- Senyel, M., Guldmann, J.-M. (2018). Joint Costs in Electricity and Natural Gas Distribution Infrastructures: The Role of Urban Factors. Urban Science, 2 (2), 35. doi: https://doi.org/10.3390/urbansci2020035
- Beavers, D. P., Stamey, J. D. (2018). Bayesian sample size determination for cost-effectiveness studies with censored data. PLOS ONE, 13 (1), e0190422. doi: https://doi.org/10.1371/journal.pone.0190422
- Saaty, T. L. (1979). The U.S.-OPEC energy conflict the payoff matrix by the Analytic Hierarchy Process. International Journal of Game Theory, 8 (4), 225–234. doi: https://doi.org/10.1007/bf01766708
- Pelin, A., Munteanu, V., Pantea, M., Gligor, D. (2009). Methodological approaches in realizing and applying cost-benefit analysis for the investment projects. Annals of the University of Oradea: Economic Science, 2 (1), 156–162.
- Sobamowo, G. M., Ojolo, S. J. (2018). Techno-Economic Analysis of Biomass Energy Utilization through Gasification Technology for Sustainable Energy Production and Economic Development in Nigeria. Journal of Energy, 2018, 1–16. doi: https://doi.org/10.1155/2018/4860252
- Anghelache, C., Manole, A., Anghel, M. (2017). Using the input-output model in macroeconomic analysis and forecasting studies. Theoretical and Applied Economics, XXIV (2), 21–32.
- Liu, R., Wu, Z. (2018). Well-posedness of a class of two-point boundary value problems associated with ordinary differential equations. Advances in Difference Equations, 2018 (1). doi: https://doi.org/10.1186/s13662-018-1510-5
- Babichev, S., Korobchynskyi, M., Lahodynskyi, O., Korchomnyi, O., Basanets, V., Borynskyi, V. (2018). Development of a technique for the reconstruction and validation of gene network models based on gene expression profiles. Eastern-European Journal of Enterprise Technologies, 1 (4 (91)), 19–32. doi: https://doi.org/10.15587/1729-4061.2018.123634
- Abd Elrehim, M. Z., Eid, M. A., Sayed, M. G. (2019). Structural optimization of concrete arch bridges using Genetic Algorithms. Ain Shams Engineering Journal, 10 (3), 507–516. doi: https://doi.org/10.1016/j.asej.2019.01.005
- Slonov, M. Yu. (2019). Functional-cost approach to structural improvement of complex system: educational process. Scientific notes of Taurida National V. I. Vernadsky University. Series: Technical Sciences, 30 (4), 124–128. doi: https://doi.org/10.32838/2663-5941/2019.4-1/22
- Oughton, F., Pitman, F. (1989). Value analysis and value engineering. London, 118.
- Saaty, T. L. (1987). Rank generation, preservation, and reversal in the analytic hierarchy decision process. Decision Sciences, 18 (2), 157–177. doi: https://doi.org/10.1111/j.1540-5915.1987.tb01514.x
- Apollo configuration management manual (1970). Washington, 308.
- Leachtenauer, J. C. (2003). Resolution requirements and the Johnson criteria revisited. Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIV. doi: https://doi.org/10.1117/12.497896
- Bertsekas, D. (1982). Constrained Optimization and Lagrange Multiplier Methods. Academic Press, 412. doi: https://doi.org/10.1016/c2013-0-10366-2
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Copyright (c) 2020 Maksym Korobchynskyi, Mykhailo Slonov, Serhii Tsybulskyi, Vladyslav Dereko, Oleksandr Maryliv
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