Collaborative and Adaptive Process Planning for Sustainable Manufacturing Environments

Summary
Innovative knowledge-based Computer Aided Process Planning (CAPP) is a key enabler to minimise cost, improve adaptability, responsiveness, robustness, and sustainability of manufacturing processes. This CAPP-4-SMEs project, planned for 36 month duration and 480 person-months, is aimed at enhancing the competitiveness of European companies, particularly SMEs, in sustainable manufacturing environment by: (1) collaborative and adaptive process planning against changes; (2) knowledge-based and integrated process simulation towards first-time-right processes; (3) event-driven function blocks for on-board adaptive process control; (4) machine availability monitoring for real-time job routing; (5) a Cloud-based services platform for cost-effective and easy access over the Internet. The CAPP-4-SMEs Consortium is comprised of 11 partners (4 universities, 1 multi-national manufacturing company and 6 SMEs) from 5 European countries (Sweden, UK, Greece, Germany and Spain). The complementary expertise of the academic and industrial European partners in the project enables knowledge sharing, dissemination and exploitation of scientific findings, industrial applications and technical know-hows across the EU. Technical innovations will be achieved through collaborative RTD activities oriented towards industrial applications for factories of the future. Industry-relevant demonstration will be developed in the project as an important element for results validation using real-world cases from SMEs. Targeting to showcase 40% reduction in resource consumption, 30% improvement in process robustness and accuracy, and 30% increase in productivity by reduced cycle times under more reliable and efficient manufacturing conditions, the demonstration activities based on the RTD outcomes of the project will be geared to exploit future commercialisation opportunities throughout the extensive industrial networks of the Consortium, and to generate greater impacts in broader areas of the EU.
More information
Web resources: http://www.capp-4-smes.eu/
https://cordis.europa.eu/project/rcn/105486/factsheet/en
Start date: 01-12-2012
End date: 30-11-2015
Total budget - Public funding: 4 969 112,00 Euro - 3 497 957,00 Euro
Call topic: Knowledge-based tools and approaches for process planning and integrated process simulation at factory level (FoF.NMP.2012-6)
Cordis data

Original description

Innovative knowledge-based Computer Aided Process Planning (CAPP) is a key enabler to minimise cost, improve adaptability, responsiveness, robustness, and sustainability of manufacturing processes. This CAPP-4-SMEs project, planned for 36 month duration and 480 person-months, is aimed at enhancing the competitiveness of European companies, particularly SMEs, in sustainable manufacturing environment by: (1) collaborative and adaptive process planning against changes; (2) knowledge-based and integrated process simulation towards first-time-right processes; (3) event-driven function blocks for on-board adaptive process control; (4) machine availability monitoring for real-time job routing; and (5) a Cloud-based services platform for cost-effective and easy access over the Internet.

The CAPP-4-SMEs Consortium is comprised of 11 partners (4 universities, 1 multi-national manufacturing company and 6 SMEs) from 5 European countries (Sweden, UK, Greece, Germany and Spain). The complementary expertise of the academic and industrial European partners in the project enables knowledge sharing, dissemination and exploitation of scientific findings, industrial applications and technical know-hows across the EU. Technical innovations will be achieved through collaborative RTD activities oriented towards industrial applications for factories of the future.

Industry-relevant demonstration will be developed in the project as an important element for results validation using real-world cases from SMEs. Targeting to showcase 40% reduction in resource consumption, 30% improvement in process robustness and accuracy, and 30% increase in productivity by reduced cycle times under more reliable and efficient manufacturing conditions, the demonstration activities based on the RTD outcomes of the project will be geared to exploit future commercialisation opportunities throughout the extensive industrial networks of the Consortium, and to generate greater impacts in broader areas of the EU.

Status

ONG

Call topic

FoF.NMP.2012-6

Update Date

07-11-2021
Images
project_picturebig_1009-CAPP-4-SMEs_FIGURE.jpg
Location

Relevant items: View structured details below

Economic sustainability Supply chain and value network efficiency Flexibility Circular economy Innovative re-use of equipment Social sustainability Increasing human achievements in manufacturing systems Occupational safety and health Environmental sustainability Reducing the consumption of energy, while increasing the usa...
Reducing the consumption of water and other process resource... Reducing emissions in manufacturing processes Material efficiency Waste minimisation Co-evolution of products-processes-production systems Reduction of energy consumption (in %) Reduction of CO2 emissions (in %) Reduction of waste (in %) Reduction of material consumption (in %)

Relevant items: View structured details below

Manufacturing the products of the future Novel materials Complex structures, geometries and scale
Customised products Resource efficient, sustainable products

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Advanced material processing technologies Additive manufacturing Photonics-based materials processing technologies Shaping technology for difficult to shape materials High productivity and “self assembly” technologies developme... Methods for handling of parts, metrology and inspection Flexible Sheet-to-Sheet (S2S) and Roll-to-Roll (R2R) Innovative physical, chemical and physicochemical processes Integration of non-conventional technologies and conventiona... Recycling processes Mechatronics and robotics technologies Control technologies Advanced and ubiquitous human machine interaction Measurement, sensing, condition and performance monitoring t...
Intelligent machinery components, actuators and end-effectors Energy technologies Information and communication technologies IoT - Internet of Things ICT solutions for next generation data storage and informati... Digital manufacturing platforms ICT solutions for modelling and simulation tools Integrated knowledge based systems Modelling and simulation methods of manufacturing processes ... CAE models interoperability to allow fast and complete compl... Skills - Knowledge-workers System modelling, simulation and forecasting Modelling and simulation for the (co-)design and management ... Virtual models spanning all levels of the factory life and i...
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Relevant items: View structured details below

Manufacturing strategies From delocalisation to Globalisation 2.0 (re-shoring) From Product/Services Systems (product centric approach) to ...
From User-centric design to user well-being design Virtualisation and digitalisation of the interrelation betwe...