Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual Framework
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
|
| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2019/50/matecconf_icad2019_00018.pdf |
| _version_ | 1818614754494644224 |
|---|---|
| author | Vickery Andrew R. Rauch Erwin Rojas Rafael A. Brown Christopher A. |
| author_facet | Vickery Andrew R. Rauch Erwin Rojas Rafael A. Brown Christopher A. |
| author_sort | Vickery Andrew R. |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T16:23:02Z |
| format | Article |
| id | doaj.art-fa91327fac8643389dc4780bed9f5a5c |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-16T16:23:02Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-fa91327fac8643389dc4780bed9f5a5c2022-12-21T22:24:52ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-013010001810.1051/matecconf/201930100018matecconf_icad2019_00018Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual FrameworkVickery Andrew R.Rauch ErwinRojas Rafael A.Brown Christopher A.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.https://www.matec-conferences.org/articles/matecconf/pdf/2019/50/matecconf_icad2019_00018.pdf |
| spellingShingle | Vickery Andrew R. Rauch Erwin Rojas Rafael A. Brown Christopher A. Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual Framework MATEC Web of Conferences |
| title | Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual Framework |
| title_full | Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual Framework |
| title_fullStr | Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual Framework |
| title_full_unstemmed | Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual Framework |
| title_short | Smart Data Analytics in SME Manufacturing – an Axiomatic Design based Conceptual Framework |
| title_sort | smart data analytics in sme manufacturing an axiomatic design based conceptual framework |
| url | https://www.matec-conferences.org/articles/matecconf/pdf/2019/50/matecconf_icad2019_00018.pdf |
| work_keys_str_mv | AT vickeryandrewr smartdataanalyticsinsmemanufacturinganaxiomaticdesignbasedconceptualframework AT raucherwin smartdataanalyticsinsmemanufacturinganaxiomaticdesignbasedconceptualframework AT rojasrafaela smartdataanalyticsinsmemanufacturinganaxiomaticdesignbasedconceptualframework AT brownchristophera smartdataanalyticsinsmemanufacturinganaxiomaticdesignbasedconceptualframework |