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2023 | z. 188 Współczesne zarządzanie = Contemporary management | 665--676
Tytuł artykułu

The Usage of Benchmarking in Industry 4.0 Conditions

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The purpose of this publication is to present the usage of benchmarking 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 benchmarking with Industry 4.0 emerges as a strategic imperative for organizations navigating the complexities of the fourth industrial revolution. As Industry 4.0 transforms manufacturing processes through the incorporation of digital technologies, automation, and data exchange, the demand for heightened efficiency, innovation, and adaptability becomes paramount. Benchmarking, evolving from its early roots in efficiency studies, stands as a dynamic and proactive force, playing a pivotal role in helping businesses stay competitive amid the dynamic changes ushered in by digital transformation. From Frederick W. Taylor's early emphasis on best practices to the structured approaches of the late 20th century, benchmarking's historical journey laid the groundwork for its integration with Industry 4.0. The application of benchmarking in this context spans various dimensions, encompassing digital maturity, smart technologies integration, data analytics, supply chain optimization, innovation, cybersecurity, and collaboration. Tables 2, 3, and 4 provide a comprehensive overview, illustrating examples of integration, emphasizing advantages, and addressing challenges. In leveraging benchmarking not only for traditional metrics but also for digital capabilities, organizations position themselves as agile, competitive, and resilient players in the dynamic landscape of Industry 4.0, reflecting a commitment to continuous improvement and competitiveness.

Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of benchmarking in Industry 4.0 conditions.(original abstract)
Twórcy
  • Silesian University of Technology, Poland
autor
  • Pennsylvania State University, USA
Bibliografia
  • 1. Almeida, S., Abreu, L.P.M. (2024). The Quality Manager in the Industry 4.0 Era. Lecture Notes in Mechanical Engineering, 468-474.
  • 2. Alrabadi, T.D.S., Talib, Z.M., Abdullah, N.A.B. (2023). The role of Quality 4.0 in supporting digital transformation: Evidence from telecommunication industry. International Journal of Data and Network Science, 7(2), 717-728.
  • 3. Amat-Lefort, N., Barravecchia, F., Mastrogiacomo, L. (2023). Quality 4.0: big data analytics to explore service quality attributes and their relation to user sentiment in Airbnb reviews. International Journal of Quality and Reliability Management, 40(4), 990-1008.
  • 4. Antony, J., McDermott, O., Sony, M., Cudney, E.A., Doulatabadi, M. (2023). Benefits, challenges, critical success factors and motivations of Quality 4.0-A qualitative global study. Total Quality Management and Business Excellence, 34(7-8), 827-846.
  • 5. Antony, J., Sony, M., McDermott, O., Jayaraman, R., Flynn, D. (2023). An exploration of organizational readiness factors for Quality 4.0: an intercontinental study and future research directions. International Journal of Quality and Reliability Management, 40(2), 582-606.
  • 6. Antony, J., Swarnakar, V., Sony, M., McDermott, O., Jayaraman, R. (2023). How do organizational performances vary between early adopters and late adopters of Quality 4.0? An exploratory qualitative study. TQM Journal.
  • 7. Barsalou, M. (2023). Root Cause Analysis in Quality 4.0: A Scoping Review of Current State and Perspectives. TEM Journal, 12(1), 73-79.
  • 8. Bousdekis, A., Lepenioti, K., Apostolou, D., Mentzas, G. (2023). Data analytics in quality 4.0: literature review and future research directions. International Journal of Computer Integrated Manufacturing, 36(5), 678-701.
  • 9. Escobar, C.A., Macias-Arregoyta, D., Morales-Menendez, R. (2023). The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation. Quality Engineering.
  • 10. Gajdzik, B., Jaciow, M., Wolniak, R., Wolny R., Grebski, W.W. (2023). Energy Behaviors of Prosumers in Example of Polish Households. Energies, 16(7), 3186; https://doi.org/10.3390/en16073186.
  • 11. Gimerská, V., Šoltés, M., Mirdala, R. (2023). Improving Operational Efficiency through Quality 4.0 Tool: Blockchain Implementation and Subsequent Market Reaction. Quality Innovation Prosperity, 27(2), 16-32.
  • 12. Jokovic, Z., Jankovic, G., Jankovic, S., Supurovic, A., Majstorović, V. (2023). Quality 4.0 in Digital Manufacturing - Example of Good Practice. Quality Innovation Prosperity, 27(2), 177-207.
  • 13. Jonek-Kowalska, I., Wolniak, R. (2021). Economic opportunities for creating smart cities in Poland. Does wealth matter? Cities, 114, 1-6.
  • 14. Jonek-Kowalska, I., Wolniak, R. (2022). Sharing economies' initiatives in municipal authorities' perspective: research evidence from Poland in the context of smart cities' development. Sustainability, 14(4), 1-23.
  • 15. Khourshed, N., Gouhar, N. (2023). Developing a Systematic and Practical Road Map for Implementing Quality 4.0. Quality Innovation Prosperity, 27(2), 96-121.
  • 16. Kordel, P., Wolniak, R. (2021). Technology entrepreneurship and the performance of enterprises in the conditions of Covid-19 pandemic: the fuzzy set analysis of waste to energy enterprises in Poland. Energies, 14(13), 1-22.
  • 17. Liu, H.-C., Liu, R., Gu, X., Yang, M. (2023). From total quality management to Quality 4.0: A systematic literature review and future research agenda. Frontiers of Engineering Management, 10(2), 191-205
  • 18. Maganga, D.P., Taifa, I.W.R. (2023). Quality 4.0 conceptualisation: an emerging quality management concept for manufacturing industries. TQM Journal, 35(2), 389-413.
  • 19. Olsen, C. (2023). Toward a Digital Sustainability Reporting Framework in Organizations in the Industry 5.0 Era: An Accounting Perspective. Lecture Notes in Networks and Systems, 557, 463-473.
  • 20. Saihi, A., Awad, M., Ben-Daya, M. (2023). Quality 4.0: leveraging Industry 4.0 technologies to improve quality management practices - a systematic review. International Journal of Quality and Reliability Management, 40(2), 628-650.
  • 21. Salimbeni, S., Redchuk, A. (2023). Quality 4.0 and Smart Product Development. Lecture Notes in Networks and Systems, 614 LNNS, 581-592.
  • 22. Singh, J., Ahuja, I.S., Singh, H., Singh, A. (2023). Application of Quality 4.0 (Q4.0) and Industrial Internet of Things (IIoT) in Agricultural Manufacturing Industry. AgriEngineering, 5(1), 537-565.
  • 23. Sureshchandar, G.S. (2023). Quality 4.0 - a measurement model using the confirmatory factor analysis (CFA) approach. International Journal of Quality and Reliability Management, 40(1), 280-303.
  • 24. Wang, Y., Mo, D.Y., Ma, H.L. (2023). Perception of time in the online product customization process. Industrial Management and Data Systems, 123(2), pp. 369-385.
  • 25. Yanamandra, R., Abidi, N., Srivastava, R., Kukunuru, S., Alzoubi, H.M. (2023). Approaching Quality 4.0: The Digital Process Management as a Competitive Advantage. 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023
Typ dokumentu
Bibliografia
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