TY - JOUR
T1 - Towards a Taxonomy of Industrial Challenges and Enabling Technologies in Industry 4.0
AU - Figlie, Roberto
AU - Amadio, Riccardo
AU - Tyrovolas, Marios
AU - Stylios, Chrysostomos
AU - Pasko, Lukasz
AU - Stadnicka, Dorota
AU - Carreras-Coch, Anna
AU - Zaballos, Agustin
AU - Navarro, Joan
AU - Mazzei, Daniele
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2024
Y1 - 2024
N2 - In the era of Industry 4.0 (I4.0), a significant challenge hindering digital transformation is the lack of mutual understanding between academia - particularly within engineering and computer science - and the industrial sector, especially small to medium-sized enterprises (SMEs). This gap can result in industries missing out on the potential benefits of cutting-edge scientific research and innovations that can address their daily concerns. At the same time, academics may struggle to identify real-world application areas for their emerging technological solutions. Moreover, the ever-increasing complexity of industrial challenges and technologies has widened the hiatus. To address this issue, our study introduces a comprehensive taxonomy, developed through a transparent, iterative process and presented via a user-centric web platform. Distinct from existing taxonomies, ours emphasizes practical applicability by categorizing and connecting industrial challenges with I4.0 technologies using articles, best practices, and use cases from academic and grey literature, thereby effectively bridging the academic-industrial communication gap. Its effectiveness and practical utility were validated in a workshop as part of the Erasmus+ project PLANET4, where industry professionals provided positive feedback after applying it to real-world challenges. Future work will include expanding the taxonomy, developing an Industry 4.0 ontology, and further enhancing the usability and maintainability of the developed web platform.
AB - In the era of Industry 4.0 (I4.0), a significant challenge hindering digital transformation is the lack of mutual understanding between academia - particularly within engineering and computer science - and the industrial sector, especially small to medium-sized enterprises (SMEs). This gap can result in industries missing out on the potential benefits of cutting-edge scientific research and innovations that can address their daily concerns. At the same time, academics may struggle to identify real-world application areas for their emerging technological solutions. Moreover, the ever-increasing complexity of industrial challenges and technologies has widened the hiatus. To address this issue, our study introduces a comprehensive taxonomy, developed through a transparent, iterative process and presented via a user-centric web platform. Distinct from existing taxonomies, ours emphasizes practical applicability by categorizing and connecting industrial challenges with I4.0 technologies using articles, best practices, and use cases from academic and grey literature, thereby effectively bridging the academic-industrial communication gap. Its effectiveness and practical utility were validated in a workshop as part of the Erasmus+ project PLANET4, where industry professionals provided positive feedback after applying it to real-world challenges. Future work will include expanding the taxonomy, developing an Industry 4.0 ontology, and further enhancing the usability and maintainability of the developed web platform.
KW - Business challenges
KW - enabling technologies
KW - Industry 4.0
KW - taxonomy
KW - web platform
UR - http://www.scopus.com/inward/record.url?scp=85182949540&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2024.3356349
DO - 10.1109/ACCESS.2024.3356349
M3 - Article
AN - SCOPUS:85182949540
SN - 2169-3536
VL - 12
SP - 19355
EP - 19374
JO - IEEE Access
JF - IEEE Access
ER -