Towards a data science platform for improving SME collaboration through Industry 4.0 technologies

Industry 4.0 (I4.0) is about realizing digital transformation by linking machines to plants, fleets, and humans through sensors and control elements in order to create smart networks, smart factories, smart manufacturing, and smart value chains. By leveraging I4.0 technologies, a small and medium enterprise (SME) can increase its organizational agility, adaptability, and resilience to cope with today's competitive environment by becoming a valuable and innovative partner in the power dynamics with its large buyer counterparts. However, SMEs face technology, trust, and big data challenges when they adopt I4.0 technologies. This study provides new solutions for SMEs to overcome these three challenges in implementing I4.0. Specifically, the paper proposes the following: (1) a roadmap for the application of I4.0 technologies to enhance the collaboration capabilities of SMEs; (2) a structure for I4.0 standardization to develop and sustain trust among partners; and (3) an improved data science platform for systematizing big data to extract critical information for collaboration solutions for SMEs. Addi-tionally, the solutions are evaluated based on an application case of a Greek SME, demonstrating their potentials for practical implementation.

Automated summary

Industry 4.0 aims to achieve digital transformation through connecting machines, plants, fleets, and humans, enabling small and medium enterprises to increase organizational agility, adaptability, and resilience. However, SMEs may encounter challenges related to technology, trust, and big data when adopting I4.0 technologies.