Methods and criteria for assessing the efficiency of technological stands in the conditions of technological development
https://doi.org/10.29030/2309-2076-2024-17-4-63-76
Abstract
Relevance. Due to the uniqueness of technological stands in the conditions of continuous technological development, designers and users – manufacturers are faced with the problem of choosing priority characteristics of technological stands taking into account the requirements put forward to this specific equipment, among which the main place is given to the efficiency parameter. The purpose of this article is to develop criteria and methods for assessing the efficiency of technological stands in the conditions of technological development, taking into account the need to eliminate the limitations of the multi-criteria evaluation approach. The methodology of this study is based on the mathematical apparatus of the theory of management decision-making. In particular, in this article the author relied on the methodology of the multi-criteria evaluation approach based on the technique of pairwise comparison and analysis of hierarchies of efficiency parameters. Results. The methodology for assessing the efficiency of technological stands in the conditions of technological development has been improved using the method of hierarchy analysis, the meaning of which lies in the decomposition of the problem into its constituent parts, as well as in the processing of the obtained results by the methods of mathematical statistics. Conclusions. The implementation of this method involves ranking the performance indicators obtained by processing subjective expert assessments. In order to reduce the possible subjectivity error for processing expert information, it is proposed to use the Kemeny median method. Practical implementation of the proposed improved methodology for assessing potential efficiency based on the use of the hierarchy analysis method in the information system for making decisions regarding the technical equipment of technological stands will ensure the required efficiency in performing production tasks
About the Author
N. E. LebedevaRussian Federation
N.E. Lebedeva – Ph.D. in economic sciences, associate professor of the Department of industry markets, faculty of economics and business
References
1. Azaryan D.K., Medunetsky V.M. Performance indicators of process equipment. Bulletin of higher educational institutions. Instrument engineering. 2022;(5):350-357. (In Russ.).
2. Battalov I.R., Ivanov A.Yu. Improving the efficiency of heat exchange equipment of a gas pumping unit. Science, technology and education. 2022;(3):1-3. (In Russ.).
3. Mabhesh M. Digitalization of processes, value streams and analysis of equipment efficiency. Competence. 2024;(3):42-49. (In Russ.).
4. Sagitova L.A. Multicriteria assessment of comparative efficiency of generating equipment. Bulletin of Samara State Technical University. 2022;30(2):48-59. (In Russ.).
5. Simachkova M.S., Krupin A.E. Analysis of the efficiency indicators of feed milling equipment use. Equipment and technologies in animal husbandry. 2022;(3):108-116. (In Russ.).
6. Barbasova T.A. Methods and models of automated resource-saving management of an energy-metallurgical technological complex : dis.... doctor of engineering sciences. Chelyabinsk, 2021. (In Russ.).
7. Galimulina F.F. Methodology for assessing the efficiency of industrial systems in the context of the formation of technological sovereignty : dis.... doctor of engineering sciences. Belgorod, 2024. (In Russ.).
8. Pai So. Development of models and tools to support the analysis and modeling of life cycle processes of technical systems: diss.... cand. of engineering sciences. Moscow, 2024. (In Russ.).
9. Perevedentsev D.A. Development of methodology and algorithms for decision support in the implementation of knowledge-intensive projects of complex technical systems: diss. … cand. sci. (eng.). Izhevsk, 2019. (In Russ.).
10. Ranteshwar Singh, Dhaval B. Shah, Ashish M. Gohil, Milesh H. Shah. Overall Equipment Effectiveness (OEE) Calculation – Automation through Hardware & Software Development. Procedia Engineering. 2013;(51):579-584.
11. Nikonorov A.I. Development of a method for designing technological processes of mechanical processing based on statistical performance assessment: diss. … cand. sci. (eng.). Moscow, 2024. (In Russ.).
12. Starodubtsev I.G. Design and implementation of efficient technological processes for the manufacture of precision parts using photomasks in pilot production: diss. … cand. sci. tech. sciences. Voronezh, 2024. (In Russ.).
13. Podinovsky V.V. Multicriteria decision-making problems: theory and methods of analysis: textbook for universities. Moscow: Publishing house Yurait, 2023. (In Russ.).
14. Madera A.G. Mathematical models and decision making in management: Guide for top managers. St. Petersburg, URSS, 2022. (In Russ.).
15. Bronevich A.G., Lepsky A.E. Fuzzy models of data analysis and decision making. Textbook. Moscow: Higher School of Economics, 2022. (In Russ.).
16. Zhukov M.S. On algorithms for calculating the Kemeny median. Factory laboratory. Diagnostics of materials. 2017;(7):72-79. (In Russ.).
Review
For citations:
Lebedeva N.E. Methods and criteria for assessing the efficiency of technological stands in the conditions of technological development. Economic Systems. 2024;17(4):63-76. (In Russ.) https://doi.org/10.29030/2309-2076-2024-17-4-63-76
JATS XML










