Methodology for multicriteria comparative assessment of the effectiveness of replacing measuring instruments and automation
Keywords:
Data Envelopment Analysis, DEA methodology, multi-criteria selection, control instrumentation, global criterion, efficiency effectAbstract
Ensuring technological sovereignty requires large-scale and massive replacement of foreign technical means in the control and automation systems of many industrial enterprises. This problem is especially relevant for critical infrastructure facilities, in particular energy supply systems and enterprises. The article presents a methodology that allows for a comparative multi-criteria assessment and selection of control and measuring instruments (measuring-and-recording apparatus) for the comprehensive re-equipment of control and management systems of energy enterprises, heat, electricity and water supply systems, industrial and household consumers. The methodology implements an integrated approach to solving the optimal choice problem based on the Data Envelopment Analysis (DEA) methodology. The global efficiency criterion is formed as a result of the convolution of heterogeneous local efficiency criteria of measuring devices, which makes it possible to take into account specific technological requirements for measuring instruments and methods, the specifics of installation and operating conditions of devices. The method of multi-criteria assessment of the effectiveness of the use of measuring instruments significantly speeds up and simplifies the process of objective selection of optimal technical means and reduces qualification requirements for users. The database and algorithm for calculating global criteria can be used to create a decision support system within the framework of automatic design systems.
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1. Федеральный закон от 26.07.2017 № 187-ФЗ «О безопасности критической информационной инфраструктуры Российской Федерации».
2. Керимов Д.А. Импортозамещение в энергетике // Вестник Югорского государственного университета. – 2016. – Вып. 4 (43). – С. 53-55. EDN: XHNLLJ
3. Алимханова А.Н., Мицель А.А. Оценка эффективности предприятий на основе метода DEA // Доклады Томского государственного университета систем управления и радиоэлектроники. – 2019. – Т. 22, № 2. – С. 104-108. DOI: 10.21293/1818-0442-2019-22-2-104-108. EDN: FZCGVB
4. Моргунов Е.П., Моргунова О.Н. Краткое описание и пример практического применения метода Data Envelopment Analysis (Версия 0.1) [Электронный ресурс]. URL: http://www.morgunov.org/docs/DEA_intro.pdf (дата обр. 20.11.2023 г.)
5. Моргунов Е. П., Моргунова О.Н. Применение метода Data Envelopment Analysis для оценки эффективности IT-специалистов // Решетневские чтения. – 2017. – Т. 2. – С. 450-451. EDN: YLZBVM
6. Гаврилова А.А., Салов А.Г. Системная методология анализа и моделирования энергоэффективности генерирующих компаний. Самара: Научно-технический центр, 2021. – 277 с. EDN: ZZZXNK
7. The DEA Process, Usages and Interpretations / A. Charnes, W.W. Cooper, A.Y. Lewin, L.M. Seiford // Data Envelopment Analysis: Theory, methodology and applications. – Dordrecht: Springer, 1994. – p. 425-435. DOI: 10.1007/978-94-011-0637-5_21
8. Метран. Датчики температуры [Сайт]. URL: https://www.metran.ru/catalog/ datchiki_temperatury/ (дата обр. 20.11.2023 г.)
APA
1. Federal'nyj zakon ot 26.07.2017 № 187-FZ "O bezopasnosti kriticheskoj informacion-noj infrastruktury Rossijskoj Federacii. [Federal Law of July 26, 2017 No. 187-FZ “On the security of critical information infrastructure of the Russian Federation.] [In Russian]
2. Kerimov, D. A. (2016) Import substitution energy. Vestnik YUgorskogo gosudarstvennogo universiteta, 4(43) , 53-55. [In Russian]
3. Alimhanova, A. N. & Mitcel, A. A. (2019). Evaluation of enterprise performance based on the DEA method. Proceedings of the TUSUR University, 22(2) , 104-108. https://doi.org/10.21293/1818-0442-2019-22-2-104-108 [In Russian]
4. Morgunov, E. P. & Morgunova O. N. Kratkoe opisanie i primer prakticheskogo primeneniya metoda Data Envelopment Analysis (Versiya 0.1) [Brief description and example of practical application of the Data Envelopment Analysis method (Version 0.1)]. Retrieved December 05, 2023, from http://www.morgunov.org/docs/DEA_intro.pdf [In Russian]
5. Morgunov, E. P. & Morgunova, O. N. (2017). Application of the Data Envelopment Analysis method for assessment of efficiency of IT-specialists. Reshetnevskie chteniya, 2, 450-451. [In Russian]
6. Gavrilova A.A. & Salov A.G. (2021). Sistemnaya metodologiya analiza i modelirovaniya energoeffektivnosti generiruyushchih kompanij [System methodology for analysis and modeling of energy efficiency of generating companies] . Izd-vo OOO "Nauchno-tekhnicheskij centr". [In Russian]
7. Charnes, A., Cooper, W.W., Lewin, A.Y., & Seiford, L.M. (1994). The DEA Process, Usages and Interpretations. In Data Envelopment Analysis: Theory, methodology and applications (pp. 425-435). Springer. https://doi.org/10.1007/978-94-011-0637-5_21
8. Metran (n.d.). Datchiki temperatury [Metran. Temperature sensors] . Retrieved December 05, 2023, from https://www.metran.ru/catalog/datchiki_temperatury/ [In Russian]
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