Validating Industry 4.0 based cognitive automation approach in additive manufacturing supplier processes
Klasila, Aatu (2024)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024082824469
https://urn.fi/URN:NBN:fi:amk-2024082824469
Tiivistelmä
This thesis investigates the application of Industry 4.0 technologies, specifically Cognitive Business Robotics (CBR) and Business Process Automation (BPA), within the supply chain processes of metal additive manufacturing supplier. The thesis was conducted in Switzerland Innovation Park Biel/Bienne AG (SIPBB) in collaboration with the Swiss Smart Factory (SSF) as part of the CPS4Retail project. The research focuses on integrating these technologies into the operations of the Swiss Advanced Manufacturing Center (SAMC). The objective was to explore the potential benefits and implementation strategies derived from the CPS4Retail experiment, with particular emphasis on reducing non-value-adding time within the supply chain of 3D-printed metal parts.
The study began with an assessment of the information and requirements necessary for the autonomous operation of CBR. The solutions were then developed, implemented, and evaluated to determine their impact on the supplier's processes. The findings indicate a significant reduction in the time required for commissioning and manufacturing, especially in planning, communication, and scheduling tasks. The integration of CBR and BPA, facilitated by SSF, effectively streamlined these processes, leading to enhanced efficiency.
The results highlight the potential for small and medium-sized enterprises (SMEs) to leverage Industry 4.0 technologies, with substantial improvements in operational efficiency and supply chain management. The study also identifies potential areas for future research, including the integration of pricing and sustainability metrics, to further optimize supply chain processes This thesis contributes both a deeper theoretical understanding and practical insights into the deployment of cognitive automation in manufacturing supply chains.
The study began with an assessment of the information and requirements necessary for the autonomous operation of CBR. The solutions were then developed, implemented, and evaluated to determine their impact on the supplier's processes. The findings indicate a significant reduction in the time required for commissioning and manufacturing, especially in planning, communication, and scheduling tasks. The integration of CBR and BPA, facilitated by SSF, effectively streamlined these processes, leading to enhanced efficiency.
The results highlight the potential for small and medium-sized enterprises (SMEs) to leverage Industry 4.0 technologies, with substantial improvements in operational efficiency and supply chain management. The study also identifies potential areas for future research, including the integration of pricing and sustainability metrics, to further optimize supply chain processes This thesis contributes both a deeper theoretical understanding and practical insights into the deployment of cognitive automation in manufacturing supply chains.