The implementation of lean and digital management techniques using artificial intelligence in industrial settings
Abstract 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...
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| Format: | Article |
| Language: | English |
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Springer
2024-11-01
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| Series: | Discover Artificial Intelligence |
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| Online Access: | https://doi.org/10.1007/s44163-024-00186-5 |
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| _version_ | 1823861799255015424 |
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| author | Aleksey Grigorievich Tashkinov |
| author_facet | Aleksey Grigorievich Tashkinov |
| author_sort | Aleksey Grigorievich Tashkinov |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-485c065b043c4bb09f24b68f14950815 |
| institution | Kabale University |
| issn | 2731-0809 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Artificial Intelligence |
| spelling | doaj-art-485c065b043c4bb09f24b68f149508152025-02-09T12:46:37ZengSpringerDiscover Artificial Intelligence2731-08092024-11-014112310.1007/s44163-024-00186-5The implementation of lean and digital management techniques using artificial intelligence in industrial settingsAleksey Grigorievich Tashkinov0Candidate of Economic Sciences, Department of Economics and Industrial Production Management, Perm National Research Polytechnic UniversityAbstract 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.https://doi.org/10.1007/s44163-024-00186-5Artificial intelligenceDigital technologyIndustry 4.0.Lean manufacturingProject management |
| spellingShingle | Aleksey Grigorievich Tashkinov The implementation of lean and digital management techniques using artificial intelligence in industrial settings Discover Artificial Intelligence Artificial intelligence Digital technology Industry 4.0. Lean manufacturing Project management |
| title | The implementation of lean and digital management techniques using artificial intelligence in industrial settings |
| title_full | The implementation of lean and digital management techniques using artificial intelligence in industrial settings |
| title_fullStr | The implementation of lean and digital management techniques using artificial intelligence in industrial settings |
| title_full_unstemmed | The implementation of lean and digital management techniques using artificial intelligence in industrial settings |
| title_short | The implementation of lean and digital management techniques using artificial intelligence in industrial settings |
| title_sort | implementation of lean and digital management techniques using artificial intelligence in industrial settings |
| topic | Artificial intelligence Digital technology Industry 4.0. Lean manufacturing Project management |
| url | https://doi.org/10.1007/s44163-024-00186-5 |
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