Imitation Modeling of Production Processes in FlexSim Environment
https://doi.org/10.21686/2413-2829-2023-2-16-23
Abstract
Modeling systems in present day life give opportunity to find optimum ways of enterprise functioning and changes in set parameters without interference in production processes or before starting the planned production. The article studies imitation modeling use in agricultural machine-building. Brief description of FlexSim software is provided. Functional features of the system of imitation modeling allow users to identify bottlenecks, analyze statistic data, plot diagrams, etc. Imitation models of production processes on assembly line for seed-loaders are described, obtained results are analyzed and bottlenecks of the production line are identified. The authors study possibilities of optimization, which can raise productivity, for example, cutting the number of operators and introducing coordinators. The present research shows the importance of modeling and analyzing production processes in virtual environment in order to plan changes in production. Apart from modeling production processes, FlexSim program can be used for analyzing material, finance, information, staff resources, which affects managerial decision-making and strategy of industrial enterprise development.
About the Authors
E. V. Lapteva
Orenburg branch of the Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Elena V. Lapteva PhD, Assistant Professor, Head of the Department for Finance
and Management
50/51–53 Pushkinskaya/Leninskaya Str., Orenburg, 460000
Yu. S. Lekareva
Orenburg branch of the Plekhanov Russian University of Economics
Russian Federation
Yulia S. Lekareva PhD, Assistant Professor of the Department for Finance
and Management
50/51–53 Pushkinskaya/Leninskaya Str., Orenburg, 460000
Russian Federation
Yulia S. Lekareva PhD, Assistant Professor of the Department for Finance
and Management
50/51–53 Pushkinskaya/Leninskaya Str., Orenburg, 460000
S. S. Umansky
John Deere Rus LLC
Russian Federation
Russian Federation
Sergey S. Umansky Business Analyst John
78 1st passage, Donguzskaya Str., Orenburg, 460027,
References
1. Akimov S. S., Tripkosh V. A. Analiz ostatochnykh komponent v protsesse razrabotki imitatsionnoy modeli putem opredeleniya podkhodyashchego zakona raspredeleniya [Analyzing Residual Components in the Process of Developing Imitation Model by Identifying Suitable Law of Distribution]. The University Complex as Regional Center of Education, Science and Culture: materials of the All-Russian Conference (with International Participation). Orenburg, 2020, pp. 458–461. (In Russ.).
2. Alimushkin N. A., Surkova E. V. Monitoring proizvodstvennykh protsessov metodami modelirovaniya s tselyu minimizatsii zatrat predpriyatiya [Monitoring Production Processes by Modeling Methods to Minimize Enterprise Costs]. European Social Science Journal, 2018, No. 12-1, pp. 8–13. (In Russ.).
3. Biblya G. N., Naryzhnaya N. Yu., Egorov E. M. Osobennosti imitatsionnogo modelirovaniya vysokotekhnologichnykh preobrazovaniy v deyatelnosti stroitelnykh kompaniy [Specific Features of Imitation Modeling of Highly-Technological Restructuring in Construction Companies]. Ekonomika ustoychivogo razvitiya [Economy of Sustainable Development], 2018, No. 4 (36), pp. 109–113. (In Russ.).
4. Bikmullin A. L. Ispolzovanie imitatsionnogo modelirovaniya i neyronnykh setey v proizvodstvennykh protsessakh na regionalnom urovne [Using Imitation Modeling and Neuron Nets in Production Processes on Regional Level]. Myagkie izmereniya i vychisleniya [Soft Measurements and Calculations], 2020, Vol. 32, No. 7, pp. 45–53. (In Russ.).
5. Blagoveshchenskiy I. G., Blagoveshchenskaya M. M., Nazoykin E. A. Ispolzovanie imitatsionnogo modelirovaniya dlya identifikatsii sostoyaniya promyshlennogo predpriyatiya [Using Imitation Modeling to Identify Condition of Industrial Enterprise]. Engineering Journal: Science and Innovation, 2020, No. 2 (98), pp. 39–40. (In Russ.).
6. Vasimova I. N., Sadkovskaya N. E., Sadkovskiy B. P., Zharov M. V. Optimizatsiya proizvodstvennykh protsessov s pomoshchyu modelirovaniya v programmnoy srede ANYLOGIC na predpriyatiyakh aviatsionnoy i raketno-kosmicheskoy otrasli [Industrial Process Optimization through Modeling in ANYLOGIC at Enterprises of Aircraft and Space and Missile Industry]. Naukoemkie tekhnologii [Science-Intensive Technologies], 2018, Vol. 19, No. 6, pp. 18–24. (In Russ.).
7. Golovanova V. S. Razrabotka modeli proizvodstvennogo tsekha v programme ANYLOGIC [Developing Model of Production Shop in ANYLOGIC]. Alleya nauki [Science Alley], 2018, Vol. 3, No. 1 (17), pp. 429–435. (In Russ.).
8. Goncharov K. A. Imitatsionnaya model protsessov proizvodstva syrokopchenykh kolbas [Imitation Model for Processes of Smoked Sausage Production]. Enigma, 2020, No. 24, pp. 180–185. (In Russ.).
9. Grigorev S. N., Leonov A. A., Dolgov V. A. Imitatsionnoe modelirovanie proizvodstvennykh protsessov s primeneniem logik planovogo i situatsionnogo rezervirovaniya rabochikh mest [Imitation modeling of Production Processes by Using Logics of Planned and Situational Reservation of Jobs]. Avtomatizatsiya. Sovremennye tekhnologii [Automation. Current Technologies], 2021, Vol. 75, No. 1, pp. 3–10. (In Russ.).
10. Zharov M. V. Modelirovanie optimizatsii dlya organizatsii proizvodstv tsekhov mashinostroeniya v programmnoy srede ANYLOGIC [Modeling Optimization for MachineBuilding Shops in ANYLOGIC]. Vestnik Ryazanskogo gosudarstvennogo radiotekhnicheskogo universiteta [Bulletin of the Ryazan State Radio-Technical University], 2020, No. 71, pp. 151–161. (In Russ.).
11. Iskandarov M. Z., Khisamutdinov R. M. Optimizatsionnaya model proizvodstvennykh protsessov sborochnoy sistemy avtomobiley [Optimization Model of Production Processes in Assembling System of Cars]. Nauchno-tekhnicheskiy vestnik Povolzhya [Science and Technology Bulletin of Povolzhiya], 2020, No. 6, pp. 70–74. (In Russ.).
12. Kislitsyn E. V., Panova M. V., Chirkina N. G. Razrabotka imitatsionnoy modeli protsessa proizvodstva na predpriyatiyakh derevoobrabotki [Developing Imitation Model of Production Process at Woodworking Enterprises]. Science Prospects, 2017, No. 11 (98), pp. 26–30. (In Russ.).
13. Lekareva Yu. S., Snatenkov A. A. Razrabotka proekta strukturnoy diversifikatsii OOO «MAYKROIMPULS» v tselyakh povysheniya innovatsionnoy aktivnosti kompanii [Developing the Project of Structural Diversification of the Micro-Impulse Company to Raise Innovation Activity]. Auditorskie vedomosti [Auditor Bulletin], 2019, No. 3, pp. 53–62. (In Russ.).
14. Morar E. V., Shamis V. A. Modelirovanie transportno-logisticheskikh protsessov s ispolzovaniem sredy ANYLOGIC [Modeling Transport and Logistic Processes by Using ANYLOGIC]. NovaInfo.Ru, 2019, Vol. 1, No. 96, pp. 24–27. (In Russ.).
15. Shepel V. N., Speshilova N. V., Kitaeva M. V. Imitatsionnaya model upravleniya zhivotnovodcheskim selskokhozyaystvennym predpriyatiem v regione [Imitation Model of Managing Live-Stock Agricultural Enterprise in Region]. Problemy razvitiya predpriyatiy: teoriya i praktika [Problems of Enterprise Development: Theory and Practice], 2018, No. 1, pp. 293–299. (In Russ.).
16. Stages of Imitation Model Development. (In Russ.). Available at: http://infotehnologii.ru/IMIT_MOD/Etap/index.html (accessed 19.08.2022).
Review
For citations:
Lapteva E.V., Lekareva Yu.S., Umansky S.S. Imitation Modeling of Production Processes in FlexSim Environment. Vestnik of the Plekhanov Russian University of Economics. 2023;20(2):16-23. (In Russ.) https://doi.org/10.21686/2413-2829-2023-2-16-23
Views:
410
Email this article 