The role of design of experiment in the ecosystem of the fourth industrial revolution

Hosseini, Seyyed Mehran; Atashgar, Karim

doi:10.48313/jqem.2024.210885

The role of design of experiment in the ecosystem of the fourth industrial revolution

Document Type : Original Article

Authors

Seyyed Mehran Hosseini

karim Atashgar

Department of Industrial Engineering, Industrial Engineering and Management University Complex, Malek Ashtar University of Technology, Tehran, Iran.

https://doi.org/10.48313/jqem.2024.210885

Abstract

Digital transformation, large amount of data, and high speed of production processes are among the most important characteristics of the ecosystem of the fourth industrial revolution. These characteristics have influenced the decision-making processes of business managers. In the fourth industrial revolution, all elements of business and production systems, including decision support systems, will be affected by digitization and the high speed and accuracy of new technologies. One of these important pillars is quality management. Digitized quality management is called the Quality 4. Design of experiments as an active approach in quality management plays an important role in improving the quality of products and even processes. This powerful tool has been influenced by the changes that occurred in the fourth industrial revolution and has tended towards the design of intelligent experiments. This research aims to show with a comprehensive review in the literature how the design of experiments can provide a special role in meeting the requirements of customers in the fourth industrial revolution and the fourth quality. In this research, firstly, the changes made in the methods and design plans of the experiments, then the possible changes in the activities of the basic process of the implementation of the design of the experiments have been redefined according to the effects of new technologies. At the end, suggestions for future research have been proposed.

Keywords

Fourth industrial revolution

quality 4

business processes

design of experiments

Pessoa, M. V. P., Becker, J. M. J., (2020). Smart design engineering: a literature review of the 4th industrial revolution on product design and development, Research in Engineering Design,175-195.
Horvath, I., Zeng, Y., Liu, Y. and Summers, J., (2021). Smart designing of smart Systems, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 35(2), 129-131.
Tay, S.I, Lee, T.C, Hamid, N.A.A. Ahmad, A.N.A, (2018). An Overview of Industry 4.0: Definition, Components, and Government Initiatives, Jour of Adv Research in Dynamical & Control Systems, Vol. 10, 14-Special Issue, 1379-1387.
Dalenogare, L. S., Benitez, G. B., Ayala, N. F., Frank, A. G., (2018). The expected contribution of Industry 4.0 technologies for industrial performance, International Journal of Production Economics, 204, 383-394.
Pessoa, M., Becker, J.,(2020). Smart Design engineering: a literature review of the impact of the 4th industrial revolution on product design and development, research in Engineering Design, 31,175-195.
Szozda,, (2017). Indusry 4 and its Impact on the Functioning of Supply Chain, Scientific journal of logistics, 13(4), 401-414.
Schwab, K.,(2016). The Fourth Industrial Revolution, what it means and how to respond. Retrieved from https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how to res pond.
V, Forginezhad. A, Khalil. K, (2020), Additive manufacturing and 3D Bio printing, 29 (134), 43-53. (in Persian)
Burrus, D., (2023). What is industry 4.0?, Definition, technologies, benefits, Retrieved from https://www.sap.com/insights/what-is-industry-4-0.html.
Fonseca, , Amaral, A., Oliveira, J., (2021). Quality 4.0: The EFQM 2020 Model and Industry 4.0 Relationships and Implications, sustainability, 13(6), 3107.
Deli, M. c., Radlovaˇcki, V., Kamberovi, B. c., Vulanovi, S. c., Hadžistevi, M. c., (2014). Exploring the impact of quality management and application of information technologies on organisational performance—The case of Serbia and the wider region, Total. Qual. Manag. Bus. Excell, 25, 776–789.
Sony, , Antony, J., Douglas, J. A., Essential ingredients for the implementation of Quality 4.0, A narrative review of literature and future directions for research, The TQM Journal, https://www.emerald.com/insight/1754-2731.htm.
Jahn, N., (2019). Quality Management and Requirements of the Fourth Technical Revolution, International Scientific Journal “industry 4.0”, 2, 61-63.
Antonino, O., Capilla, R., Pelliccione, P., Schnicke, F., Espen, D., Kuhn, T., Schmid, K., (2022). A Quality 4.0 Model for architecting industry 4.0 systems, Advanced Engineering Informatics, 54, 101801.
Skowronek, , (2015). Reducing the Number of Runs in Experimental Research Using Smart Designs of Experiment, Technical Transactions Mechanics, 2-M, 253-260.
Juran Institute and Attain Partners, (2020), Design of Experiments – An Essential Tool for Quality Improvement, Retrieved from https://www.juran.com/blog/the-history-of-quality.
Brecht, P., Niever, M., Kerres, R., Strobele, A., Hahn, C. H., (2021). Smart platform experiment cycle (SPEC): a process to design, analyze and validate digital platforms, Artificial Intelligence for Engineering Design, Analysis and Manufacturing,35, 209-225.
K, (2018), Design of Experiment and Taguchi Method, Iran: Malek -e- Ashtar University of Technology. (in Persian)

Huang, W., Su, X., Wu M., Yan, L., (2020). Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 34, 233-247.