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BDVe Webinar Series - Engineering - Big Data in the Smart Manufacturing Industry

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Davide Dalle Carbonare from Engineering

June 18

The BDVA Smart Manufacturing Industry group is going to present in this webinar, challenges and opportunities related to the adoption of Big Data-driven solutions in the manufacturing domain. Following the grand scenarios defined by EFFRA (Smart Factory, Smart Supply Chain, Smart Product), the discussion will make use of real cases and pilots from research projects to elaborate on the topic.

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BDVe Webinar Series - Engineering - Big Data in the Smart Manufacturing Industry

  1. 1. BDVA Smart Manufacturing Industry group Davide Dalle Carbonare Senior Researcher at Engineering Ingegneria Informatica SpA Sergio Gusmeroli Research Coordinator at Politecnico of Milan BDVe webinar, June 18th 2019 Big Data in the Smart Manufacturing Industry
  2. 2. To exchange views and learn from each other experiences, on what activities are running in EU and within the different countries. To identify present and future challenges to be addressed and to provide input for policy-makers at EU and member states level. 80+ subscribed The Smart Manufacturing Industry group
  3. 3. A discussion paper on Big Data challenges for BDVA and EFFRA Research & Innovation roadmaps alignment Version 1, 2018 The FOF background is materialized by its validation business scenarios of Smart Factory, Smart Product and Smart Supply Chains as projected to 2025 by the Connected Factories personas. Developed in 15 months with workshops at BDVA Summits and BDVA Activity Group meetings. SMI Discussion Paper v1 Paper available at: http://www.bdva.eu/downloads
  4. 4. SMI Discussion Paper v1 – Grand Scenarios Smart Factory Smart Factory Industry 4.0 Scenarios Factory Automation Machinery & Robots Internal Logistics Smart Workplaces Cyber Physical Systems Production Monitoring Ctrl Predictive Maintenance Zero Defect Manufacturing Smart Product Lifecycle Smart Product Lifecycle Product-Service Systems Ideation LivingLabs Product Design Engineering Product Tracking & Tracing As-design As-built As-Maint End of Life Circular Economy Post-sales Services Sharing & Service Economy Predictive Maintenance Smart Supply Chain Smart Supply Chain Supply Chain Management Value Networks Business Ecosystems Cross-sector Ecosystems System Interoperability Human Collaboration Business Modelling Innovation Ecosystems Co-opetition Models
  5. 5. SMI Discussion Paper v1 – Challenges PROCESSES Smart Product Lifecycle Smart Product Lifecycle Smart Supply Chain Smart Supply Chain Smart FactorySmart Factory Data Mgmt & Lifecycle Data Processing Architectures Data Protection Security Data Visualisation Data Analytics, Models Simulation BDVASRIATECHNOLOGIES CPPS generated Product generated Company generated Stream RT Processing Batch Processing Distributed Processing Factory Simulation Product Design Ecosystems Models Mixed Criticality Confidential Data Dynamic Sovereignity Smart Workplace 3D Visualization Collaborative Work
  6. 6. PROCESSES CPPS generated Product generated Company generated Stream RT Processing Batch Processing Distributed Processing Factory Simulation Product Design Ecosystems Models Mixed Criticality Confidential Data Dynamic Sovereignity Smart Workplace 3D Visualization Collaborative Work Smart Product Lifecycle Smart Product Lifecycle Smart Supply Chain Smart Supply Chain Smart FactorySmart Factory Data Mgmt & Lifecycle Data Processing Architectures Data Protection Security Data Visualisation Data Analytics, Models Simulation BDVASRIATECHNOLOGIES SP1-4 SP5-6 SP7-10 SP11-12 SP13-17 SSC1-5 SSC6-7 SSC8-12 SSC13 SSC14-15 SF1-5 SF6-8 SF9-15 SF16-19 SF20-24 56challenges SMI Discussion Paper v1 – Challenges
  7. 7. Smart Factory Smart Factory Smart Product Lifecycle Smart Product Lifecycle Smart Supply Chain Smart Supply Chain CPS Data Sources Integration Hybrid Clouds and Edge Automation Architectures Prescriptive Analytics in Industrial Plants Sensitive Data Privacy in Future Workspaces Context-aware Visualization in Smart Workplaces Product Design Interoperability Data at Rest (in Motion) for Smart Product Pre-(Post-)production Real Time Analytics in Smart Products operations Privacy Preservation in Smart Products post-production and operations VR/AR in maintenance and operations of complex Smart Products Data traceability in value networks Real-time supply chain-data processing Analytics-based decision support in Business Ecosystems Cybersecurity and Trust in Agile Value Networks Customised User Interface in Business Ecosystems SMI Discussion Paper v1 – Challenges
  8. 8. A discussion paper on Big Data challenges … To align BDVA, EFFRA, euRobotics, AIOTI ... Version 2, 2019 Condense and prioritize Technical Challenges Include Legal/Ethical, Business and Skills aspects Link with SRIDA on AI Relevant topics (e.g. Digital Twin) Data Sharing Spaces AI- and Data-driven Recommendations to Digital Europe SMI Discussion Paper v2 [… in progress]
  9. 9. www.bdva.eu

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