PROMISING TECHNICAL SOLUTIONS FOR AUTOMATION AND DIGITALIZATION
Authors:
1.
Zapolyarnyy gosudarstvennyy universitet im. N.M. Fedorovskogo
(Informacionnyh sistem i tehnologiy, Docent)
employee
employee
2.
Rossiyskiy gosudarstvennyy universitet im. A.N. Kosygina (Tehnologii. Dizayn. Iskusstvo)
Type:
Article
Pages:
from 54
to 60
Status:
In work
Language:
Russian
Keywords:
INFORMATION FLOWS, ARTIFICIAL INTELLIGENCE, FUZZY LOGIC, EXPERT SYSTEMS, INDUSTRY 4.0, OPTIMIZATION OF BUSINESS PROCESSES, MANUFACTURING PROCESSES OF NATURAL FUR PRODUCTS, NEURAL NETWORKS, VR AND AR TECHNOLOGIES, SORTING OF FUR SEMI-FINISHED PRODUCTS
Abstract (English):
Digitalization and intellectualization of production and technological processes in the garment industry is the main trend of their improvement and development. Despite the state support of this direction, the pace of digitalization of production processes at domestic enterprises does not match the pace of implementation of developments at foreign enterprises in the countries of the leaders of the process, a significant lag between sewing enterprises and domestic enterprises belonging to the leading industries. Modern digital transformation is based on technologies such as big data analytics, machine learning, artificial intelligence, and production robotics and corresponds to the concept of Industry 4.0, which provides for improving product quality, reducing design costs, optimizing production processes and supply chains, minimizing the influence of the human factor and effective demand forecasting. By digitalizing processes, various tasks are solved at various stages of garment production. Their systematization and analysis allow us to explore the possibilities of using digital technologies to further optimize and improve the efficiency of processes. The main directions of digitalization at various stages of production processes are considered: product design, modeling and production process, 3-D printing technology, marketing processes. Artificial intelligence technologies have been studied, which allow solving a wide range of difficult-to-formalize tasks and are the most promising for digitalization of production processes. Their classification, solved tasks, and the possibility of application in the processes of sewing production are given. Studies have been conducted on the digitalization of the manufacturing processes of semi-finished fur products through the use of artificial intelligence technologies (neural networks, fuzzy inference, expert systems). The possibilities and prospects for their further improvement are considered.
Digitalization and intellectualization of production and technological processes in the garment industry is the main trend of their improvement and development. Despite the state support of this direction, the pace of digitalization of production processes at domestic enterprises does not match the pace of implementation of developments at foreign enterprises in the countries of the leaders of the process, a significant lag between sewing enterprises and domestic enterprises belonging to the leading industries. Modern digital transformation is based on technologies such as big data analytics, machine learning, artificial intelligence, and production robotics and corresponds to the concept of Industry 4.0, which provides for improving product quality, reducing design costs, optimizing production processes and supply chains, minimizing the influence of the human factor and effective demand forecasting. By digitalizing processes, various tasks are solved at various stages of garment production. Their systematization and analysis allow us to explore the possibilities of using digital technologies to further optimize and improve the efficiency of processes. The main directions of digitalization at various stages of production processes are considered: product design, modeling and production process, 3-D printing technology, marketing processes. Artificial intelligence technologies have been studied, which allow solving a wide range of difficult-to-formalize tasks and are the most promising for digitalization of production processes. Their classification, solved tasks, and the possibility of application in the processes of sewing production are given. Studies have been conducted on the digitalization of the manufacturing processes of semi-finished fur products through the use of artificial intelligence technologies (neural networks, fuzzy inference, expert systems). The possibilities and prospects for their further improvement are considered.
Keywords:
INFORMATION FLOWS, ARTIFICIAL INTELLIGENCE, FUZZY LOGIC, EXPERT SYSTEMS, INDUSTRY 4.0, OPTIMIZATION OF BUSINESS PROCESSES, MANUFACTURING PROCESSES OF NATURAL FUR PRODUCTS, NEURAL NETWORKS, VR AND AR TECHNOLOGIES, SORTING OF FUR SEMI-FINISHED PRODUCTS
INFORMATION FLOWS, ARTIFICIAL INTELLIGENCE, FUZZY LOGIC, EXPERT SYSTEMS, INDUSTRY 4.0, OPTIMIZATION OF BUSINESS PROCESSES, MANUFACTURING PROCESSES OF NATURAL FUR PRODUCTS, NEURAL NETWORKS, VR AND AR TECHNOLOGIES, SORTING OF FUR SEMI-FINISHED PRODUCTS
