A Bibliometric Analysis of the Evolution of Six Sigma in the Context of Industry 4.0

Authors

DOI:

https://doi.org/10.5755/j01.ee.32.4.28536

Keywords:

Six Sigma, Industry 4.0, Smart Factory, Simulation, Big Data

Abstract

Contemporary world with constantly increasing speed of change and rapid development of technologies is challenging companies to accustom to existing complexity. This led to the fact that various methodologies change accordingly. Practitioners and researchers are seeking the ways to ameliorate processes using emerging technologies. One of the methodologies is Six Sigma that has always been connected with technologies necessary for data collection and analysis. The emergence of new technologies might benefit or challenge Six Sigma. In this paper an attempt has been performed to analyze the trends in research output of the conjunction of Industry 4.0 technologies and Six Sigma methodology. This paper is based on the bibliometric analysis. In the process of analysis, it was found that the combination of Six Sigma methodology and Industry 4.0 technology has positive potential, however, not all of the technologies have been analyzed.

Author Biographies

Anastasia Efimova, Faculty of Management and Economics, Tomas Bata University, Czech Republic

Anastasia Efimova is currently a PhD student at the Department of Industrial Engineering and Information Systems at Tomas Bata University in Zlin. The field of interest and studies includes Lean Six Sigma, Process Optimization, and Industry 4.0 influence. Studied Innovative Entrepreneurship during master's studies at Tomsk Polytechnic University. She has experience with the usage of Lean technologies for food industry processes. ORCID iD: 0000-0002-7930-7026

Petr Briš, Faculty of Management and Economics, Tomas Bata University, Czech Republic

Petr Briš is Doc. Ing., CSc., graduated from the Faculty of Technology in Zlín, Brno University of Technology, studied Technology of Textile, Leather, Rubber and Plastic Materials specializing in enterprise economics. He obtained the title CSc. at Moscow Institute of Technology MTILP. He is a holder of the certificate of Quality Manager in compliance with ČSN EN ISO/IEC 17 024. He works as a senior lecturer at the Department of Production Management - Industrial Engineering, Faculty of Management and Economics at Tomas Bata University in Zlín. He has experience in research projects in the field of industrial systems management and the pedagogical field. ORCID iD: 0000-0001-7027-1648

Alexander Efimov, Faculty of Applied Informatics, Tomas Bata University, Czech Republic

Alexander Efimov has graduated in June, 2021 from Tomas Bata University in Zlin with an engineer's degree in Security Technologies, Systems and Management – Security Management. He graduated from Tomsk Polytechnic University with a master’s degree in Computation Systems, Complexes, and Nets. The research interests include computational techniques, Big Data, programming, statistics.

Additional Files

Published

2021-10-28

Issue

Vol. 32 No. 4 (2021)

Section

Journal General Track