DOI 10.17586/0021-3454-2021-64-9-759-766
UDC 004.896
APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR SOLVING PROBLEMS OF PRODUCTION OPTIMIZATION BASED ON DIGITAL TWINS
Siberian Federal University, Department of Robotics and Technical Cybernetics;
Read the full article
Abstract. An approach to solving the problem of operational scheduling of production based on the use of a simulation model controlled by an artificial neural network is proposed. The implemented production simulation model uses the Tecnomatix Plant Simulation software. An example of the proposed approach application for production planning in a typical production system is presented, and the achieved effect is experimentally confirmed for various quality criteria of production plans. The main advantages and disadvantages of the developed approach are revealed, the possibility of implementing the of the approach elements with other types of simulation models is analyzed.
Keywords: digital twin, simulation model, operational scheduling, technological route, artificial neural network
References:
References:
- Plotnikov V.А. Izvestiâ Sankt-Peterburgskogo gosudarstvennogo èkonomičeskogo universiteta, 2018, no. 4, pp. 16–24. (in Russ.)
- Abaev G.E., Demkovich N.A., Yablochnikov E.I. IMMOD–2017, Conference proceedings, St. Petersburg, 2017, рр. 219–227. (in Russ.)
- Leventsov V.A., Radaev A.E., Nikolaevsky N.N. St. Petersburg State Polytechnical University Journal. Economics, 2017, no. 1(10), pp. 19–31. (in Russ.)
- Kupriyanovskiy V.P., Sinyagov S.A., Namiot D.E., Utkin N.A., Nikolaev D.E., Dobrynin A.P. International Journal of Open Information Technologies, 2017, no. 1(5), pp. 50–70. (in Russ.)
- Popov N.A. Strategicheskiye resheniya i risk-menedzhment (Strategic Decisions and Risk Management), 2019, no. 1(10), pp. 28–35. (in Russ.)
- Matveeva Е.А. The Reporter of Volzhsky University after V.N. Tatischev, 2012, no. 4(20), pp. 51–61. (in Russ.)
- Luger G.F. Structures and Strategies for Complex Problem Solving, University of New Mexico, 2010, 779 р.
- Sochnev A.N. Setevyye modeli v sistemakh upravleniya proizvodstvom (Network Models in Production Management Systems), Krasnoyarsk, 2014, 162 р. (in Russ.)
- Kondakov A.I., Ostrovsky Yu.A. Razrabotka marshrutnykh tekhnologicheskikh protsessov izgotovleniya detaley (Development of Route Technological Processes for the Manufacture of Parts), Moscow, 2003, 50 р. (in Russ.)
- Sidorenko Yu.А. Vestnik of Lobachevsky State University of Nizhni Novgorod. Series: Social Sciences, 2015, no. 2(38), pp. 35–41. (in Russ.)
- Chizhov M.I., Skripchenko Yu.S., Gusev P.Yu. Bulletin of Voronezh State Technical University, 2011, no. 12–1, pp. 36–38. (in Russ.)
- Chizhov M.I., Skripchenko Yu.S., Gusev P.Yu. Bulletin of Voronezh State Technical University, 2011, no. 7, pp. 18–20. (in Russ.)
- Abramova I.G., Lisitsyn M.S., Abramov D.A. Vestnik of the Samara State Aerospace University, 2012, no. 3–2(34), pp. 81–87. (in Russ.)
- Skorniakova E.A., Sulaberidze V.S. High Technologies in Earth Space Research. H&ES Research, 2019, no. 1(11), pp. 78–85. (in Russ.)
- Osovskiy S. Neyronnyye seti dlya obrabotki informatsii (Neural Networks for Information Processing), Moscow, 2002, 344 р. (in Russ.)
- Haykin S. Neural Networks, Prentice Hall, NJ, Upper Saddle River, 1999.
