MATEC Web Conf.
Volume 301, 2019The 13th International Conference on Axiomatic Design (ICAD 2019)
|Number of page(s)||11|
|Published online||02 December 2019|
Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual Framework
Worcester Polytechnic Institute, Department of Mechanical Engineering,
2 Free University of Bozen-Bolzano, Faculty of Science and Technology, Industrial Engineering and Automation (IEA), 39100 Bolzano, Italy
* Corresponding author: firstname.lastname@example.org
The objective of this paper is to go a step further introducing the concept of Industry 4.0 (I4.0) using Axiomatic Design as a research methodology. The rationale for this work is to increase the performance of SMEs allowing a better utilization of resources, using tools coming to the foreground of industry enabled by the Fourth Industrial Revolution (also known as Industry 4.0). This would improve the competitive position of SMEs on the global market. The state-of-the-art shows that only few companies andespecially few small and medium sized enterprises (SMEs) are using data analytics to take advantage of new technological achievements to compete with one another. The method used in this paper for deriving aconceptual framework how SMEs can exploit the advantages of smart data analytics in manufacturing is axiomatic design, using inputs collected from a field study at SMEs. The results show that SMEs are challenged in implementing advanced data analytics instruments and need to define strategies for collecting, analysing and interpreting data for improving their performance and provide framework which should help SMEs to implement data analytics on the shop floor.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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