Имитационное моделирование производственных процессов различных типов машиностроительных производств
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| S.N. Grigoriev
1 s.grigoriev@stankin.ru V.A. Dolgov 1, 2 dolgov@digitalfabrika.ru P.A. Nikishechkin 1, 2 npa@digitalfabrika.ru S.S. Ivashin 2 iss@digitalfabrika.ru N.V. Dolgov 2 dnv@digitalfabrika.ru 1 Moscow State University of Technology “STANKIN”, Moscow, Russian Federation 2 LLC “Digital Systems Factory”, Moscow, Russian Federation Abstract Keywords The article considers the main methods of simulation modeling, their applicability and approaches to simula- tion modeling production processes of manufacture and logistics systems of machine-building enterprises. The types of manufacture and logistics systems of ma- chine-building enterprises are described. Their main classification features are pointed out such as the number of operations performed at one workplace, the variety of nomenclature as well as types of production processes. The features of simulation modeling production pro- cesses in mass and serial production are determined. The prospects for the use of operational scheduling sys- tems in conjunction with simulation systems for ma- chine-building enterprises of a serial type are shown. The main differences are considered in the use of simula- Simulation modeling, manu- facture and logistics system, machine-building enterprise, production schedule, digital twin, concept “Industry 4.0” Имитационное моделирование производственных процессов… ISSN 0236-3941. Вестник МГТУ им. Н.Э. Баумана. Сер. Машиностроение. 2022. № 3 97 tion modeling and operational scheduling systems for assessing the feasibility of a production program. The existing software solutions for simulation modeling pro- duction processes of various machine-building enterpris- es are analyzed and the potential advantages of their use in conjunction with operational scheduling systems are described. An approach to the formation of simulation models of manufacture and logistics systems with a com- bined type of production is proposed, the use of which allows increasing the adequacy of modeling manufacture and logistics systems with various types of production. Received 13.09.2021 Accepted 20.12.2021 © Author(s), 2022 жүктеу/скачать 324,52 Kb. Достарыңызбен бөлісу:
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