Журналы →  Chernye Metally →  2023 →  №2 →  Назад

Metal Rolling and Other Metal Processing Processes
Название Development of situation models for duration of production cycles of manufacturing finished rolled products. Message 2
DOI 10.17580/chm.2023.02.06
Автор A. R. Fastykovsky, A. I. Musatova, S. M. Kulakov, N. V. Martyushev, A. I. Karlina
Информация об авторе

Siberian State Industrial University (Russia, Novokuznetsk):

A. R. Fastykovsky, Dr. Eng., Associate Prof., Head of the EVRAZ ZSMK Dept. of Metal Processing and Metal Science, e-mail: fastikovsky@mail.ru
A. I. Musatova, Lecturer of the Institute of Additional Education, e-mail: musatova-ai@yandex.ru
S. M. Kulakov, Dr. Eng., Prof., Dept. of Automation and Information Systems, e-mail: kulakov-ais@mail.ru

 

Tomsk Polytechnic University (Tomsk, Russia):
N. V. Martyushev, Cand. Eng., Associate Prof., Dept. of Metal Science, e-mail: martjushev@tpu.ru

 

Moscow State University of Civil Engineering (Moscow, Russia):
A. I. Karlina, Cand. Eng., Researcher, e-mail: karlinat@mail.ru

Реферат

For rational planning and forecasting of production time, a clear accounting and regulation of the duration of production cycles is necessary. The duration of manufacturing batches of products is the basis for the construction of operational schedules. Without the duration of cycles, it is impossible to set calendar dates for the launch of semi-finished products at a particular stage of processing, as well as to determine the timing of product release, the timing of the passage of a batch of products through individual production areas. The problem of multivariate estimation of the duration of manufacturing a specific batch of rolled products is solved, which consists in substantiating, for each production situation, the optimal duration of operations required for the release of this batch. Models of production processes carried out in the departments of a medium-sized shop are built, the composition, duration and conditions for performing technological, natural, labor, control and transport operations are determined; the types and quantity of equipment used in departments are indicated; lists the types of material flow units (blank, pack, package); the nature and type of movement of semi-finished products (products) in the operations of the production process are established; the ways of moving products from the previous operation to the next one (piece, batch, batch), as well as the number of packages and batches to be moved are specified; the types of production lines used (continuous, semi-continuous, discrete) are taken into account. All of the above is reflected in the presented enlarged algorithm, the approbation of which was carried out by modeling using field data of an operating enterprise.

Ключевые слова Duration of manufacturing batches of products, cycles of equipment operation, situational models, duration of production operations, main and local contours of the algorithm, subsystems, systems
Библиографический список

1. Fastykovskiy A. R., Musatova А. I., Kulakov S. М., Martyushev N. V., Karlina А. I. Development of situational models of the duration of production cycles for the production of batches of finished rolled products. Message 1. Chernye Metally. 2023. No. 1. pp. 44–51.
2. Arkin P. А., Mukhanova N. V. Solving the problem of choosing the type of equipment for rapid prototyping. Organizator proizvodstva. 2020. Vol. 28. No. 2. pp. 108–117. DOI: 10.25987/VSTU.2020.89.98.010
3. Mitrofanov А. Yu. Modeling stochastic production systems with a hierarchical structure. Matematicheskie metody v tekhnologiyakh i tekhnicheskikh sistemakh. 2021. No. 2. pp. 84–88. DOI: 10.52348/2712-8873MMTT
4. Lenort R., Feliks J. Production logistics concepts and systems in metallurgical companies. Metal. 2013. No. 5. pp. 15–17.
5. Schönemann M., Schmidt Ch., Herrmann Ch., Thiede S. Multi-level Modeling and Simulation of Manufacturing Systems for Lightweight Automotive Components. Procedia CIRP. 2016. Vol. 41. pp. 1049–1054. DOI: 10.1016/j.procir.2015.12.063
6. Malindžák D., Gazda A., Malindžáková M., Vitko D. The basic principles and rules for heuristic model creation in metallurgy. Metalurgija. 2013. Vol. 52. No. 4. pp. 549–552.
7. Bolshova N. V., Zhukovskaya I. V., Shchelkanov S. К., Galaev А. S. The concept of introducing a system of shop planning and accounting in JSC KRASMASH. Reshetnikov`s Readings. 2015. pp. 168, 169.
8. Rachad S., Fouraiji H., Bensassi B. Modeling a production system by parametric identification approach. 2014 2nd World Conference on Complex Systems, WCCS 2014. 2015. pp. 402–406. DOI: 10.1109/ICoCS.2014.7060882
9. Kübler F., Böhner J., Steinhilper R. Resource efficiency optimization of manufacturing processes using evolutionary computation: A turning case. The 22nd CIRP conference on Life Cycle Engineering. 2015. Vol. 29. pp. 822–826.
10. Kulakov S. М., Musatova А. I., Kadykov V. N. Multivariate estimation of the duration of manufacture of steel wire batches based on situational normative models. Message 1. Izvestiya vuzov. Chernaya metallurgiya. 2019. No. 6. pp. 484–491. DOI: 10.17073/0368-0797-2019-6-484-491
11. Rüttimann B. Modeling of Production Systems. In book: Lean Compendium. 2017. pp. 7–20.
12. Muravyeva G. Yu. An integrated approach to determining the duration of the production cycle in industries with non-piece accounting for manufactured products. Nauchnye vedomosti. Seriya “Ekonomika, informatika”. 2016. No. 2 (223). Iss. 37. pp. 38–41.
13. Sidorenko Yu. А., Frolov V. G., Salmina N. А. The main characteristics and features of logistics systems for managing material flow in the field of industrial production. Vestnik Nizhegorodskogo universiteta. Seriya "Sotsialnye nauki". 2016. No. 2 (42). pp. 63–72.
14. Long F., Zeiler P., Bertsche B. Modelling the flexibility of production systems in Industry 4.0 for analysing their productivity and availability with high-level Petri nets. IFAC-Papers OnLine. 2017. Vol. 50, Iss. 1. pp. 5680–5687. DOI: 10.1016/j.ifacol.2017.08.1118
15. Li M., Li D. Process Modeling for Production System Based on Matrix Mapping. Advanced Materials Research. 2010. Vols. 156-157. pp. 1497–1500. DOI: 10.4028/www.scientific.net/AMR.156-157.1497
16. Musatova А. I., Kulakov S. М., Kadykov V. N. On the evaluation of standard coefficients of equipment use in rolling shops. Izvestiya vuzov. Chernaya metallurgiya. 2010. No. 2 pp. 47–51.
17. Zhukovskaya I. V., Shchelkanov S. К., Balyshova N. V. The system of operational management of the production activities of the shops of the rocket and space equipment enterprises. Aktualnye problemy aviatsii i kosmonavtiki. 2015. Vol. 1. pp. 452–453.

Language of full-text русский
Полный текст статьи Получить
Назад