The R&D Cluster Towards agile manufacturing systems and processes incorporates the following research priorities: RP1.1 Software for flexible and reconfigurable machinery and robots – Highly dynamic market demands and changing customer requirements for product personalisation are driving European factories to modify their asset-instalment bases with flexible and reconfigurable machinery and robots. Software for dynamic reconfigurations would not only increase the throughput of factories but also integrate with existing backend systems for design and manufacturing with the objective of reducing changeover time/cost, tooling and programming effort. Furthermore, generic software solutions for reconfigurable machinery and robots will open up new business opportunities through the concept of factory leasing, where different manufacturers could lease an existing factory setup to manufacturing similar goods but with different configuration needs. RP1.1 would implement key ICT recommendations CL3 Collaborative service management to tackle complexity and optimise operations, CL4 Collaborative design and manufacturing for better products and IN9 Big data analysis and real-time decision making. Industrial challenges Reduction of time and cost of factory and machine reconfiguration; Dynamic personalisation of products and frequent Reduction of expert programming needs and time changes in production and machine reconfiguration; devoted to it; Building software to capture these dynamic needs as Reduction of energy consumption during machine well as integrate with systems and machinery; reconfiguration and subsequent use Reducing consumption of energy as well as of Reduction of scrap defective work pieces and – – resources materials, water, etc.; reworking; – Assisted setup of machines and the work pieces; Reduction of manufacturing steps through increased Automatic referencing and calibration capabilities for machine functionality; and machinery; and Implementation of leased-factory concept. Implementation of geometrical measurement and integrity inspection on the machines. Potential outcomes ICT research requirements Generate a formal repository incorporating all the necessary knowledge for designing flexible and Develop multidisciplinary models and tools for reconfigurable systems and machines. designing flexible and easily reconfigurable systems and machines, including dynamic simulation and monitoring of consumption of energy and other resources; Ambition Radar TRL Develop decentralised control systems including operational schemes and intelligent control Impact Factor patterns; Conceive open IT platforms for integration and 1.8 networking of control systems; Horizon 2020 Develop intelligence and signal-processing By 2016 By 2018 By 2020 solutions for self-adjustment and correction; Develop virtual metrology and real-time capabilities; and
The R&D Cluster Towards agile manufacturing systems and processes incorporates the following research priorities: RP1.1 – Software for flexible and reconfigurable machinery and robots Highly dynamic market demands and changing customer requirements for product personalisation are driving European factories to modify their asset-instalment bases with flexible and reconfigurable machinery and robots. Software for dynamic reconfigurations would not only increase the throughput of factories but also integrate with existing backend systems for design and manufacturing with the objective of reducing changeover time/cost, tooling and programming effort. Furthermore, generic software solutions for reconfigurable machinery and robots will open up new business opportunities through the concept of factory leasing, where different manufacturers could lease an existing factory setup to manufacturing similar goods but with different configuration needs. RP1.1 would implement key ICT recommendations CL3 Collaborative service management to tackle complexity and optimise operations, CL4 Collaborative design and manufacturing for better products and IN9 Big data analysis and real-time decision making. Industrial challenges Dynamic personalisation of products and frequent changes in production and machine reconfiguration; Building software to capture these dynamic needs as well as integrate with systems and machinery; Reducing consumption of energy as well as of resources – materials, water, etc.; Assisted setup of machines and the work pieces; Automatic referencing and calibration capabilities for machinery; and Implementation of geometrical measurement and integrity inspection on the machines. Potential outcomes Reduction of time and cost of factory and machine reconfiguration; Reduction of expert programming needs and time devoted to it; Reduction of energy consumption during machine reconfiguration and subsequent use Reduction of scrap – defective work pieces – and reworking; Reduction of manufacturing steps through increased machine functionality; and Implementation of leased-factory concept. ICT research requirements Develop multidisciplinary models and tools for designing flexible and easily reconfigurable systems and machines, including dynamic simulation and monitoring of consumption of energy and other resources; Develop decentralised control systems including operational schemes and intelligent control patterns; Conceive open IT platforms for integration and networking of control systems; Develop intelligence and signal-processing solutions for self-adjustment and correction; Develop virtual metrology and real-time capabilities; and Generate a formal repository incorporating all the necessary knowledge for designing flexible and reconfigurable systems and machines. Ambition Radar TRL Impact Factor 1.8 Horizon 2020 By 2016 By 2018 By 2020
001-ActionPlanTD33FinalRoadmap.docx