Semantic Scholar Open Access 2024 12 sitasi

The implementation of lean and digital management techniques using artificial intelligence in industrial settings

Tashkinov Aleksey Grigorievich

Abstrak

This article proposes an interdisciplinary approach to analyzing the problems associated with the introduction of digital technologies into industry, with special attention to artificial intelligence. The author offers a methodological framework based on the principles of lean manufacturing and artificial intelligence to eliminate the identified gaps. To improve the efficiency of production systems, a model is proposed that combines the principles of lean manufacturing with digital tools such as artificial intelligence. The introduction of a new concept and method of production process management requires a revision of the project management strategy and organizational practices. As one of the main results, a project is proposed aimed at introducing lean and digital production methods using modern digital technologies. The introduction of digital technologies has led to the appearance of preliminary results that allow the heads of production departments to make informed decisions based on up-to-date data. Enterprises using the potential of artificial intelligence demonstrate higher efficiency, complete orders ahead of schedule and benefit customers through innovative software and algorithms. This approach allows organizations to effectively manage their activities, providing value to customers and increasing their satisfaction. Issues related to Industry 4.0, digitalization and artificial intelligence play a key role in the context of business transformation, therefore, the study of these aspects can be valuable both for the academic community and for the practical activities of companies.

Topik & Kata Kunci

Penulis (1)

T

Tashkinov Aleksey Grigorievich

Format Sitasi

Grigorievich, T.A. (2024). The implementation of lean and digital management techniques using artificial intelligence in industrial settings. https://doi.org/10.1007/s44163-024-00186-5

Akses Cepat

Lihat di Sumber doi.org/10.1007/s44163-024-00186-5
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
12×
Sumber Database
Semantic Scholar
DOI
10.1007/s44163-024-00186-5
Akses
Open Access ✓