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- Title
THE USAGE OF TAGUCHI METHODS IN INDUSTRY 4.0 CONDITIONS.
- Authors
WOLNIAK, Radosław
- Abstract
Purpose: The purpose of this publication is to present the usage of Taguchi methods approach in Industry 4.0 conditions. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of Taguchi methods with Industry 4.0 signifies a profound advancement in manufacturing and quality management. Industry 4.0, with its advanced digital technologies such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and cyber-physical systems, creates an environment that significantly enhances Taguchi’s principles. This integration facilitates a more dynamic approach to process optimization, leveraging real-time data and sophisticated analytics to achieve superior quality and efficiency. Real-time data collection and advanced analytics enable precise application of Taguchi’s experimental designs, enhancing responsiveness to process variations and improving product quality. Digital twins and automated process control systems further support robust design by allowing virtual testing and continuous adjustments. However, challenges such as data integration complexity, high implementation costs, and the integration of legacy systems must be addressed through strategic planning and investment. Overcoming these challenges can lead to substantial benefits, including improved data utilization, enhanced process optimization, and greater flexibility, driving significant advancements in manufacturing capabilities and operational excellence. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of Taguchi methods in Industry 4.0 conditions.
- Subjects
TAGUCHI methods; INDUSTRY 4.0; PROCESS control systems; AUTOMATIC control systems; DATA analytics; VERTICAL integration
- Publication
Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie, 2024, Issue 198, p637
- ISSN
1641-3466
- Publication type
Article
- DOI
10.29119/1641-3466.2024.198.36