Automatized management of logging operations: a methodological analysis
Abstract and keywords
Abstract (English):
Logging operations are performed by various types of machines and mechanisms, which are usually combined into sets. The composition of the kit depends on the technological scheme according to which work is organized directly on each plot, depending on climatic, landscape and other factors. Increasing the productivity of a set of machines is associated with the efficiency of machines and mechanisms in individual operations, but it also largely depends on the correct selection of machines in the set, their number, production capabilities, design features depending on the different conditions at each site. It is important in the process of planning and managing logging operations to take into account the consistency of the operation of the complete forest machines, which involves determining the optimal operating modes of each machine, the number of certain groups of machines, the productivity of machines, their operating time, etc. According to research conducted by scientists of various scientific organizations at enterprises of the forestry complex, a list of tasks was formed, for which automated systems of operational planning of logging operations (AOP LR) are being created. Automated operational management of logging operations (AOU LR) is organized on the basis of AOP LR. The complex of priority tasks of the AOU LR includes knowledgeable groups of tasks; accounting for the volumes of work performed on logging operations; analysis of the fulfilment of planned tasks on the logging site, determined when solving operational planning tasks; development of control actions on the process of logging operations; preparation of accounting documents. The primary composition of operational management tasks logically follows from the composition of planning tasks. A positive consequence of this relationship is the commonality of the information base of both sets of tasks, which greatly simplifies their operation as a single whole as a mathematical support for an automated logging management system.

Keywords:
logging area, logging operations, sets of machines, a set of tasks, automated operational planning system, automated operational management, logging operations software, forest complex, reforestation, logging, information space
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References

1. Mokhirev A., Rukomoynikov K. Graphic-analytical modelling of technological chain of logging operations in dynamic natural and production conditions // IOP Conf. Series: Earth and Environmental Science, 2019, v. 316, p. 012039. DOI:https://doi.org/10.1088/1755-1315/316/1/01203.

2. Programmnoe sredstvo dlya nahozhdeniya optimal'noy posledovatel'nosti tehnologicheskih operaciy proizvodstvennogo processa lesozagotovitel'nogo predpriyatiya / A. P. Mohirev, M. M. Gerasimova, K. P. Rukomoynikov, T. V. Sergeeva // Lesnoy vestnik. Forestry Bulletin. 2022. T. 26, № 1. S. 114-125. DOIhttps://doi.org/10.18698/2542-1468-2022-1-114-125.

3. Zaikin A. N., Sivakov V. V., Novikova T. P., Zelikov V. A., Stasyuk V. V., Chuykov A. S. Programmnoe obespechenie dlya upravleniya sistemoy tehnicheskogo obsluzhivaniya i remonta lesnyh mashin: ocenka primenimosti // Lesotehnicheskiy zhurnal. 2023. T.13. № 2 (50). S. 105–127. DOI: https://doi.org/10.34220/issn.2222-7962/2023.2/6.

4. Rukomoynikov K. P., Mohirev A. P. Obosnovanie tehnologicheskoy shemy lesozagotovitel'nyh rabot putem sozdaniya dinamicheskoy modeli funkcionirovaniya predpriyatiya // Izvestiya vysshih uchebnyh zavedeniy. Lesnoy zhurnal. 2019. № 4(370). S. 94-107. DOIhttps://doi.org/10.17238/issn0536-1036.2019.4.94.

5. Zaikin A. N., Merkelov V. M., Sivakov V. V. K voprosu operativnogo planirovaniya i upravleniya lesosechnymi rabotami // Ekonomika i effektivnost' organizacii proizvodstva. 2020. № 32. S. 120-122.

6. Zaikin A. N. Tipy i naznachenie zapasov drevesiny v proizvodstvennom processe lesozagotovok // Lesn. zhurn. 2013. № 3. S. 71-78. (Izv. vyssh. ucheb. zavedeniy).

7. Zaikin A. N, Ryzhikova E. G., Teremkova I. I. Metod operativnogo planirovaniya i upravleniya lesosechnymi rabotami // Lesn. zhurn. 2017 № 2 S. 107-118 (Izv. vyssh. ucheb. zavedeniy). DOI:https://doi.org/10.17238/issn0536-1036.2017.2.107

8. Mohirev A. P., Goryaeva E. V., Medvedev S. O. Ocenka tehnologicheskih processov lesozagotovitel'nyh predpriyatiy // Lesotehnicheskiy zhurnal. 2016. T. 6, № 4(24). S. 139-147. DOIhttps://doi.org/10.12737/23448.

9. Design of logging infrastructure in consideration of the dynamically changing environment / A. Mokhirev, K. Rukomojnikov, M. Gerasimova, S. Medvedev // Journal of the Korean Wood Science and Technology. 2021. Vol. 49, No. 3. P. 254-266. DOIhttps://doi.org/10.5658/WOOD.2021.49.3.254.

10. Imitacionnoe modelirovanie tehnologicheskogo processa zagotovki drevesiny na primere lesnogo harvestera / K. P. Rukomoynikov, T. V. Sergeeva, T. A. Gilyazova [i dr.] // Lesnoy vestnik. Forestry Bulletin. 2023. T. 27, № 3. S. 69-80. DOIhttps://doi.org/10.18698/2542-1468-2023-3-69-80.

11. Avtomatizaciya vedeniya uchebno-metodicheskoy dokumentacii obrazovatel'noy organizacii / V. V. Sivakov, A. A. Solomnikov, I. Yu. Adamovich, S. P. Stroev // Vysshee obrazovanie v Rossii. 2021. T. 30, № 8-9. S. 34-43. DOIhttps://doi.org/10.31992/0869-3617-2021-30-8-9-34-43.

12. Meissner H., Ilsena R., Auricha J. C. (2017). Analysis of Control Architectures in the Context of Industry 4.0//Procedia CIRP. Vol. 62. P. 165-169.

13. Kolberg D., Zühlke D. (2015). Lean Automation enabled by Industry 4.0 Technologies. December 2015 IFAC-Papers On Line 48(3):1870-1875. DOI:https://doi.org/10.1016/j.ifacol.2015.06.359

14. Erboz G. (2020). A qualitative study on industry 4.0 competitiveness in Turkey using Porter diamond model. Journal of Industrial Engineering and Management 13(2):266 DOI:https://doi.org/10.3926/jiem.2915

15. Sivakov V. V. Vnedrenie informacionnyh tehnologiy pri organizacii passazhirskih marshrutnyh perevozok v g.Bryanske / V. V. Sivakov, K. S. Borovaya // Transportnoe delo Rossii. 2019. № 4. S. 98-99.

16. The use of information technology in the design of chippers for the production of technological chips / V. Sivakov, S. Gryadunov, A. Buglaev [et al.] // E3s web of conferences: VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023), Krasnoyarsk, 29–31 marta 2023 goda. Vol. 390. EDP Sciences: EDP Sciences, 2023. P. 03027. DOIhttps://doi.org/10.1051/e3sconf/202339003027.

17. Belov V. F. Arhitektura cifrovoy platformy issledovaniya i proektirovaniya innovaciy v mashino- i priborostroenii / V. F. Belov, S. S. Gavryushin, A. I. Zankin // Izvestiya vysshih uchebnyh zavedeniy. Mashinostroenie. 2021. № 3(732). S.3-15. DOIhttps://doi.org/10.18698/0536-1044-2021-3-3-15.

18. Bovteev S. V. Razrabotka metoda sozdaniya semeystv stroitel'nyh mashin i oborudovaniya dlya 3D i 4D modelirovaniya / S. V. Bovteev, N. I. Veselova // Sistemnye tehnologii. 2022. №3(44). S. 14-23. DOI:https://doi.org/10.55287/22275398_2022_3_14.

19. Hawkes P., Kasper E. (1996). The Finite-Element Method (FEM).https://doi.org/10.1016/B978-012333340-7/50191-5.

20. Shantyko A. S. OAO "Gomsel'mash": na puti k cifrovizacii proizvodstva / A. S. Shantyko, V. I. Kozlov, S. V. Karaban'kova // Cifrovaya transformaciya. 2018. № 4. S. 16-26.

21. Erpalov A., Khoroshevskii K., Gadolina I. (2023). Actual problems of creating digital twins of machine engineering products in terms of durability assessment. Industrial laboratory. Diagnostics of materials. 89. 67-75. DOI:https://doi.org/10.26896/1028-6861-2023-89-8-67-75.

22. Sivakov V., Buglaev A., Zaikin A., Orekhovskaya A., Nurullin A., Razetdinov I. Improving the training of employees of logging enterprises in the field of labor protection. E3S Web Conf. 486 04007 (2024). DOI:https://doi.org/10.1051/e3sconf/202448604007.

23. Gavrilović N., Mishra A. (2021). Software architecture of the internet of things (IoT) for smart city, healthcare and agriculture: analysis and improvement directions. J Ambient Intell Human Comput 12, 1315–1336. DOI: https://doi.org/10.1007/s12652-020-02197-3.

24. Parshina I. S., Frolov E. B. Development of a digital twin of the production system on the basis of modern digital technologies. Ekonomika v promyshlennosti = Russian Journal of Industrial Economics, 2020. Vol. 13. No. 1. Pp. 29–34. (In Russ.). DOI:https://doi.org/10.17073/2072-1633-2020-1-29-34.

25. Ashtari B., Jung T., Lindemann B., Sahlab N., Jazdi, N., Schloegl, W., Weyrich M. (2019). An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System. Automatisierungstechnik. 67. 762-72. DOI:https://doi.org/10.1515/auto-2019-0039.8.

26. Shvedenko V., Mozokhin A. (2020). Concept of digital twins at life cycle stages of production systems. Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 20. 815-827.https://doi.org/10.17586/2226-1494-2020-20-6-815-827.

27. Linhares M., Sette Jr. C.R., Campos F., Yamaji F. (2012). Harvester and Forwarder machines efficiency and operational performance in forest harvesting. Pesquisa Agropecuária Tropical. 42. 212-219. DOIhttps://doi.org/10.1590/S1983-40632012000200007.

28. Danilović M., Antonić S., Stojnić D., Cirovic V., Milikić D. (2022). Productivity of Komatsu 951G harvester in tree felling and production wood assortments in forest area damaged by wind. Topola. 5-11. DOIhttps://doi.org/10.5937/topola2209005D.

29. Primenenie kompleksov lesozagotovitel'nyh mashin v usloviyah Respubliki Bashkortostan / A. N. Zaikin, V. V. Sivakov, N. A. Bulhov [i dr.] // Izvestiya vysshih uchebnyh zavedeniy. Lesnoy zhurnal. 2022. № 3(387). S. 139-152. DOIhttps://doi.org/10.37482/0536-1036-2022-3-139-152.

30. Labelle E. R., Kemmerer J. (2022). Business Process Reengineering of a Large-Scale Public Forest Enterprise Through Harvester Data Integration. Croatian journal of forest engineering. 43. DOI:https://doi.org/10.5552/crojfe.2022.1129.

31. Söderberg J., Wallerman J., Almäng A., Möller J., Willén E. (2021). Operational prediction of forest attributes using standardised harvester data and airborne laser scanning data in Sweden. Scandinavian Journal of Forest Research. 36. 1-9. DOI:https://doi.org/10.1080/02827581.2021.1919751.

32. Bezuglov A. E., Kislicyna O. A. Klyuchevye pokazateli effektivnosti pri provedenii tehnicheskogo obsluzhivaniya i remonta oborudovaniya // Voprosy innovacionnoy ekonomiki. 2019. Tom 9. № 4. S. 1501-1514. doi:https://doi.org/10.18334/vinec.9.4.41208.

33. Pomogaev V. M., Redreev G. V. Information support in the system of maintenance and repair of mobile machines in agriculture. Vestnik of Omsk SAU. 2022; 2(46): 145-152, DOIhttps://doi.org/10.48136/2222-0364_2022_2_145.

34. Kostygov A. M. Avtomatizirovannaya informacionnaya podderzhka processov planirovaniya tehnicheskogo obsluzhivaniya i remonta energooborudovaniya po fakticheskomu sostoyaniyu / A. M. Kostygov, D. K. Eltyshev // Informacionno-izmeritel'nye i upravlyayuschie sistemy. 2019. T. 17, № 4. S. 46-53. DOI:https://doi.org/10.18127/j20700814-201904-06. https://elibrary.ru/ouggxk.

35. Goncharov A. B., Tulinov A. B., Perepechay B. A., Goncharov A. A. Metody organizacii sistemy tehnicheskogo obsluzhivaniya i remonta oborudovaniya s cel'yu obespecheniya ego bezotkaznoy raboty // Remont. Vosstanovlenie. Modernizaciya. 2017. № 2. C. 35-40.

36. Tugengol'd A. K., Voloshin R. N., Yusupov A. R., Kruglova T. N. Tehnicheskoe obsluzhivanie tehnologicheskih mashin na baze cifrovizacii // Vestnik Donskogo gosudarstvennogo tehnicheskogo universiteta. 2019. T.19. №1. S.74-80. DOI:https://doi.org/10.23947/1992-5980-2019-19-1-74-80.

37. Zav'yalov A. P. Diagnosticheskoe obsluzhivanie oborudovaniya i truboprovodov neftegazovyh proizvodstv pri risk-orientirovannom podhode k ekspluatacii // Oborudovanie i tehnologii dlya neftegazovogo kompleksa. 2020. № 3(117). S.79-81. DOI:https://doi.org/10.33285/1999-6934-2020-3(117)-79-81.

38. Gurskiy A. S. Ispol'zovanie transportnoy telematiki i distancionnoy diagnostiki dlya sovershenstvovaniya tehnicheskogo obsluzhivaniya i remonta transportnyh sredstv / A. S. Gurskiy, V. S. Ivashko // Izvestiya Nacional'noy akademii nauk Belarusi. Seriya fiziko-tehnicheskih nauk. 2020. T.65. №3. S.375-383. DOIhttps://doi.org/10.29235/1561-8358-2020-65-3-375-383.

39. Kim G-H., Kim, K.-D., Lee H.-S., Choi Y, Mun H.-S., Oh J.-H., Shin B.-S. (2021). Development of Wi-Fi-Based Teleoperation System for Forest Harvester. Journal of Biosystems Engineering. 46. DOI:https://doi.org/10.1007/s42853-021-00100-2.

40. Zaikin A. N., Teremkova I. I., Afonichev D. N. Metodika avtomatizirovannogo operativnogo planirovaniya lesosechnyh rabot. Vestnik Voronezhskogo gosudarstvennogo agrarnogo universiteta. 2017. № 3 (54). S. 102-109.

41. Golubev I. G., Mishurov N. P., Gol'tyapin V. Ya., Apatenko A. S., Sevryugina N. S. Sistemy telemetrii i monitoringa sel'skohozyaystennoy tehniki: analit. obzor. M.: FGBNU «Rosinformagroteh», 2020. 76 s.

42. Keefe R., Zimbelman E., Picchi G. (2022). Use of Individual Tree and Product Level Data to Improve Operational Forestry. Current Forestry Reports. 8. 3.https://doi.org/10.1007/s40725-022-00160-3.

43. Picchi G., Sandak J., Grigolato S., Panzacchi P., Tognetti R. (2022). Smart Harvest Operations and Timber Processing for Improved Forest Management.https://doi.org/10.1007/978-3-030-80767-2_9.

44. Torresan C., Benito-Garzon M., O’Grady M., Robson T. et al. (2021). A new generation of sensors and monitoring tools to support climate-smart forestry practices. Canadian Journal of Forest Research. 51.https://doi.org/10.1139/cjfr-2020-0295.

45. Kaulen A., Stopfer L., Lippert K., Purfürst T. (2023). Systematics of Forestry Technology for Tracing the Timber Supply Chain. Forests. 14.https://doi.org/10.3390/f14091718.

46. Pichler G., Sandak J., Picchi G., Kastner M. et al. (2022). Timber Tracking in a Mountain Forest Supply Chain: A Case Study to Analyze Functionality, Bottlenecks, Risks, and Costs. Forests. 13. 1373.https://doi.org/10.3390/f13091373.

47. Keefe R., Wempe A., Becker R., Zimbelman E., Nagler E., Gilbert S., Caudill C. (2019). Positioning Methods and the Use of Location and Activity Data in Forests. Forests. 10. 458.https://doi.org/10.3390/f10050458.

48. Zimbelman E., Keefe R. (2022). Lost in the woods: Forest vegetation, and not topography, most affects the connectivity of mesh radio networks for public safety. PLOS ONE. 17. e0278645.https://doi.org/10.1371/journal.pone.0278645.

49. Kim G-H., Kim, K.-D., Lee H.-S., Choi Y, Mun H.-S., Oh J.-H., Shin B.-S. (2021). Development of Wi-Fi-Based Teleoperation System for Forest Harvester. Journal of Biosystems Engineering. 46. DOI:https://doi.org/10.1007/s42853-021-00100-2.

50. Lopatin E., Väätäinen K., Kukko A. et al. (2023). Unlocking Digitalization in Forest Operations with Viewshed Analysis to Improve GNSS Positioning Accuracy. Forests. 14. 689.https://doi.org/10.3390/f14040689.

51. Programmnoe obespechenie dlya upravleniya sistemoy tehnicheskogo obsluzhivaniya i remonta lesnyh mashin: ocenka primenimosti / A. N. Zaikin, V. V. Sivakov, T. P. Novikova [i dr.] // Lesotehnicheskiy zhurnal. 2023. T.13, № 2(50). S.105-127. DOIhttps://doi.org/10.34220/issn.2222-7962/2023.2/6.

52. Programmnoe obespechenie dlya upravleniya lesohozyaystvennym i lesozagotovitel'nym processami: ocenka primenimosti / A. N. Zaikin, V. V. Sivakov, V. A. Zelikov [i dr.] // Lesotehnicheskiy zhurnal. 2022. T. 12, № 1(45). S. 96-109. DOIhttps://doi.org/10.34220/issn.2222-7962/2022.1/8.

53. Safiullin, R. N. Obosnovanie struktury avtomatizirovannoy sistemy kontrolya tehnicheskogo sostoyaniya transportnogo sredstva na osnove matrichnogo QR-koda / R. N. Safiullin, O. P. Pyrkin, K. V. Sorokin // Tehniko-tehnologicheskie problemy servisa. 2023. № 2(64). S. 17-22. URL: https://elibrary.ru/gblmxf.

54. Kemmerer J., Labelle E. R. (2021). Using harvester data from on-board computers: a review of key findings, opportunities and challenges. European Journal of Forest Research. 140. DOI:https://doi.org/10.1007/s10342-020-01313-4.

55. Zaprudnov V. I., Karpachev S. P., Bykovskiy M. A. Potrebnost' parka lesosechnyh mashin v tehnicheskom obsluzhivanii // Lesnoy vestnik. Forestry Bulletin. 2017. T. 21. № 2. S. 76–79. DOIhttps://doi.org/10.18698/2542-1468-2017-2-76-79.

56. Kataev Yu. V., Gradov E. A., Tishaninov I. A. Kontrol' tehnicheskogo sostoyaniya sel'skohozyaystvennoy tehniki cherez onlayn-monitoring parametrov // Sel'skohozyaystvennaya tehnika: obsluzhivanie i remont. 2022; 1. DOI:https://doi.org/10.33920/sel-10-2201-03.

57. Erokhin M. N., Dorokhov A. S., Kataev Yu. V. Intelligent system for diagnosing the parameters of the technical condition of tractors. Agricultural Engineering (Moscow). 2021;(2):45-50. (In Russ.) https://doi.org/10.26897/2687-1149-2021-2-45-50

58. Information support of the dynamics of system connectivity of wheel harvester operations / F. Svoikin, V. Svoikin, S. Bazarov [et al.] // IOP Conference Series: Earth and Environmental Science : 2, Saint Petersburg, Virtual, 18–19 marta 2021 goda. – Saint Petersburg, Virtual, 2021. – P. 012031. DOIhttps://doi.org/10.1088/1755-1315/806/1/012031.

59. Informacionnoe obespechenie dinamiki sistemnoy svyaznosti operaciy valochno-suchkorezno-raskryazhevochnoy mashiny / F. V. Svoykin, V. F. Svoykin, S. M. Bazarov, S. A. Ugryumov // Remont. Vosstanovlenie. Modernizaciya. 2022. № 2. S. 37-41. DOIhttps://doi.org/10.31044/1684-2561-2022-0-2-37-41.

60. Razmerno-kachestvennye harakteristiki kruglyh sortimentov, zagotavlivaemyh s primeneniem mnogooperacionnyh lesnyh mashin / K. D. Zhuk, S. A. Ugryumov, F. V. Svoykin, V. F. Svoykin // Izvestiya vysshih uchebnyh zavedeniy. Lesnoy zhurnal. 2022. № 5(389). S. 114-130. DOIhttps://doi.org/10.37482/0536-1036-2022-5-114-130.

61. Zhuk K. D. Raspoznavanie porod derev'ev v processe lesozagotovki s primeneniem metodov mashinnogo obucheniya / K. D. Zhuk, S. A. Ugryumov, F. V. Svoykin // Izvestiya Sankt-Peterburgskoy lesotehnicheskoy akademii. 2023. № 242. S.167-178. DOIhttps://doi.org/10.21266/2079-4304.2023.242.167-178.

62. Svidetel'stvo o gosudarstvennoy registracii programmy dlya EVM № 2023681124 Rossiyskaya Federaciya. Programma opredeleniya porody stvola zagotavlivaemogo dereva dlya valochno-suchkorezno-raskryazhevochnyh mashin stmPredict : № 2023669997 : zayavl. 29.09.2023 : opubl. 10.10.2023 / K. D. Zhuk, S. A. Ugryumov, F. V. Svoykin; zayavitel' Federal'noe gosudarstvennoe byudzhetnoe obrazovatel'noe uchrezhdenie vysshego obrazovaniya «Sankt-Peterburgskiy gosudarstvennyy lesotehnicheskiy universitet imeni S.M. Kirova».

63. Povyshenie effektivnosti raboty mashin i oborudovaniya pri zagotovke drevesiny v lesah s radioaktivnym zagryazneniem / A. N. Zaikin, A. S. Toropov, V. M. Merkelov, V. V. Sivakov // Izvestiya vysshih uchebnyh zavedeniy. Lesnoy zhurnal. 2020. № 1(373). S. 113-127. DOIhttps://doi.org/10.37482/0536-1036-2020-1-113-127.

64. Cifrovizaciya sistemy organizacii rabochih processov lesozagotovitel'nyh mashin: ocenka effektivnosti na primere «Ponsse», «Komatsu» i «John Deere» / V. V. Sivakov, A. N. Zaikin, T. P. Novikova [i dr.] // Lesotehnicheskiy zhurnal. 2023. T. 13, № 3(51). S. 200-218. DOIhttps://doi.org/10.34220/issn.2222-7962/2023.3/14.

65. Rukomoynikov K. P., Sergeeva T. V., Gilyazova T. A., Tsarev E. M., Anisimov P. N. (2023). Modeling operation of forest harvester in AnyLogic simulation system. Forestry Bulletin. 27. 69-80.https://doi.org/10.18698/2542-1468-2023-3-69-80.

66. Algoritm resheniya zadachi optimal'nogo raspredeleniya rabot v setevyh kanonicheskih strukturah / A. I. Novikov [i dr.] // Lesotehnicheskiy zhurnal. – 2014. – T. 4, № 4(16). – S. 309–317. – DOIhttps://doi.org/10.12737/8515. – URL: https://elibrary.ru/tondhd.

67. Matematicheskaya model' raspredeleniya trudovyh resursov pri tehnicheskoy ekspluatacii i remonte avtotransportnyh sredstv / S. V. Dorohin [i dr.] // Aktual'nye voprosy innovacionnogo razvitiya transportnogo kompleksa. – Orel, 2016. – S. 133-139. URL: https://elibrary.ru/vxxdjz.

68. Zatvornickiy, A. P. Optimal'noe planirovanie kompleksnyh proektov sozdaniya elektronnoy komponentnoy bazy / A. P. Zatvornickiy // Informacionnye sistemy i tehnologii. – 2013. – № 3(65). – S. 5-10. – URL: https://www.elibrary.ru/ntnxin.

69. Novikova T. P. Economic evaluation of mathematical methods application in the management systems of electronic component base development for forest machines / T. P. Novikova, A. I. Novikov // IOP Conference Series: Earth and Environmental Science. – 2019. – Vol. 392. – P. 012035. – DOI https://doi.org/10.1088/1755-1315/392/1/012035.

70. Sokolov S. V. Determining the Initial Orientation for Navigation and Measurement Systems of Mobile Apparatus in Reforestation / S. V. Sokolov, A. I. Novikov, V. Ivetić // Inventions. – 2019. – Vol. 4, No. 4. – P. 56. – DOI https://doi.org/10.3390/inventions4040056.

71. How to Increase the Analog-to-Digital Converter Speed in Optoelectronic Systems of the Seed Quality Rapid Analyzer / S. V. Sokolov, V. V. Kamensky, A. I. Novikov, V. Ivetić // Inventions. – 2019. – Vol. 4, No. 4. – P. 61. – DOI https://doi.org/10.3390/inventions4040061. URL: https://elibrary.ru/dkxphx.

72. Novikova T. P. The choice of a set of operations for forest landscape restoration technology / T. P. Novikova // Inventions. – 2022. – Vol. 7, No. 1. – DOI https://doi.org/10.3390/inventions7010001. URL: https://elibrary.ru/uxpfiq.

73. K voprosu razvitiya sistemy energoobrazovaniya dvigateley vnutrennego sgoraniya / S. V. Dorohin [i dr.] // Al'ternativnye istochniki energii na avtomobil'nom transporte: problemy i perspektivy racional'nogo ispol'zovaniya. – Voronezh, 2014. – Tom 1. – S. 272-274. URL: https://elibrary.ru/slkaqt.

74. Patent № 2714705 Rossiyskaya Federaciya, MPK A01G 23/00. Sposob vosstanovleniya lesa : № 2019115418 : zayavl. 20.05.2019 : opubl. 19.02.2020 / A. I. Novikov. – URL: https://www.elibrary.ru/gzdlvj.

75. Svidetel'stvo o gosudarstvennoy registracii programmy dlya EVM № 2021667363 Rossiyskaya Federaciya. Informacionnaya sistema dlya uchastka po remontu avtotransporta i mehanizmov : № 2021666981 : zayavl. 28.10.2021 : opubl. 28.10.2021 / S. A. Morozov [i dr.]. – URL: https://www.elibrary.ru/nrywgh.

76. Razrabotka algoritma i modeli funkcionirovaniya informacionnoy sistemy dlya malogo sel'skohozyaystvennogo predpriyatiya / T. V. Novikova [i dr.] // Modelirovanie sistem i processov. – 2020. – T. 13, № 4. S. 53-58. – DOIhttps://doi.org/10.12737/2219-0767-2021-13-4-53-58. – URL: https://www.elibrary.ru/qdcyjv.

77. Production of Complex Knowledgebased Systems: Optimal Distribution of Labor Resources Management in the Globalization Context / A. I. Novikov [et al.] // Globalization and its socio-economic consequences : Proceedings, Rajecke Teplice, Slovak Republic. – Rajecke Teplice, Slovak Republic: University of Zilina, 2018. – P. 2275-2281. – URL: https://www.elibrary.ru/yxkpwh.

78. Matematicheskaya model' optimal'nogo raspredeleniya rabot v setevyh kanonicheskih strukturah / O. V. Avseeva [i dr.] // Fundamental'nye i prikladnye problemy tehniki i tehnologii. – 2013. – № 5(301). – S. 48-52. – URL: https://www.elibrary.ru/sjqbtb.

79. Nanoelektronika: ocherednoy etap razvitiya elektronnoy tehniki / M. D. Evteev [i dr.] // Tehnika i tehnologii: puti innovacionnogo razvitiya. – Kursk : Zakrytoe akcionernoe obschestvo "Universitetskaya kniga", 2013. – S. 140-142. – URL: https://www.elibrary.ru/tjbbkj.

80. Controlling means of development electronic component basis / V. N. Achkasov [et al.]. – Lorman, MS, USA : Science Book Publishing House LLC, 2013. – 130 p. – ISBN 978-1-62174-001-8. – URL: https://www.elibrary.ru/rewhat.

81. Oblachnye tehnologii – stanovlenie i perspektivy razvitiya / V. V. Lyadov [i dr.] // Modelirovanie sistem i processov. – 2013. – № 1. – S. 37-39. – URL: https://www.elibrary.ru/rbpjfr.

82. Gidromehanicheskie transmissii lesotransportnyh mashin: tehnologicheskaya svyaz' s vozdeystviem na pochvenno-rastitel'nuyu sredu / P. A. Sokol [i dr.] // Lesotehnicheskiy zhurnal. – 2023. – T. 13, № 2(50). – S. 179-197. – DOIhttps://doi.org/10.34220/issn.2222-7962/2023.2/10. – URL: https://www.elibrary.ru/PJGNOX.

83. Algoritm analiza klientskoy bazy torgovoy organizacii / S. A. Evdokimova [i dr.] // Modelirovanie sistem i processov. – 2022. – T. 15, № 1. – S. 24–35. – DOIhttps://doi.org/10.12737/2219-0767-2022-15-1-24-35. – URL: https://www.elibrary.ru/YJSTFW.

84. Analiz tovarnogo assortimenta zapasnyh chastey dilerskogo predpriyatiya avtomobil'nogo servisa s pomosch'yu algoritma FP-Growth / S. A. Evdokimova [i dr.] // Modelirovanie sistem i processov. – 2022. – T. 15, № 4. – S. 24-33. – DOIhttps://doi.org/10.12737/2219-0767-2022-15-4-24-33. – URL: https://www.elibrary.ru/jcnghb.


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