The efficiency and sustainability of both the manufacturing of actual and future products is still very much determined by the processes that shape and assemble the components of these products. Innovative products and advanced materials (including nano-materials) are emerging but are not yet developing to their full advantage since robust manufacturing methods to deliver these products and materials are not developed for large scale. Research is needed to ensure that novel manufacturing processes can efficiently exploit the potential of novel products for a wide range of applications.

Associated projects

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Title Cloudification of Production Engineering for Predictive Digital Manufacturing
Description The results of these initiatives are fostering the engineering and to some extend the prototyping processes within the manufacturing workflow; however, monitoring and optimizing production processes have
Organisation Institute for Advanced Manufacturing - University of Nottingham
Comments processes.
 Optimizing efficiency of truck components manufacturing processes by data analytics Result title Optimizing efficiency of truck components manufacturing processes by data analytics Result description Technical Impact To explore new application areas for advanced ICT in manufacturing at large attracting considerable number of new users of advanced ICT in the manufacturing sector, in particular
 Manufacturing Taxon title Manufacturing
 Manufacturing the products of the future Taxon title Manufacturing
 R&I Objective 1.5: Advanced Manufacturing processes for smart and complex products Taxon title Manufacturing
 R&I Objective 2.3: Manufacturing with new and substitute materials Taxon title Manufacturing
 R&I Objective 2.6: Predictive Manufacturing capabilities & Logistics of the future Taxon title Manufacturing
 R&I Objective 3.2: Manufacturing processes and approaches near to customers or consumers (including urban manufacturing) Taxon title Manufacturing
 Material efficiency Taxon description projects or physical processes.
 R&I Objective 1.4: Artificial intelligence for productive, excellent, robust and agile manufacturing chains - Predictive manufacturing capabilities & logistics of the future Comments processes.
 Specific Objective 1: Excellent, responsive and smart factories & supply chains Comments processes.
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Title Manufacturing Industry Digital Innovation Hubs
Description SMEs will successfully compete globally with innovative products and services, digitised Industry 4.0 processes and innovative business models, involving their workforce at all levels in this Digital
Organisation IRISH MANUFACTURING RESEARCH COMPANY LIMITED BY GUARANTEE
Comments Industry by enabling smart products (digital inside), smart processes and smart business models.
 Periodic Reporting for period 1 - MIDIH (Manufacturing Industry Digital Innovation Hubs) Result title Periodic Reporting for period 1 - MIDIH (Manufacturing Industry Digital Innovation Hubs) Result description digital solutions, the most advanced industrial experiments, pools of human and industrial competencies and access to ?
 R&I Objective 3.3: Transparency, trust and data integrity along the product and manufacturing life-cycle Comments Industry by enabling smart products (digital inside), smart processes and smart business models.
 R&I Objective 4.1: Digital platforms and engineering tools supporting creativity and productivity of manufacturing development Comments Industry by enabling smart products (digital inside), smart processes and smart business models.
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Description A unique feature of the machine will be the capability for parallel manufacturing featuring either multiple deposition heads or concurrent addition and subtraction processes.
Comments When addressing advanced manufacturing processes the approach should be that all products are "complex".
 Periodic Reporting for period 1 - LASIMM (Large Additive Subtractive Integrated Modular Machine) Result description Another unique feature of the machine will be the capability for parallel manufacturing, featuring either multiple deposition heads or concurrent addition and subtraction processes.
 Manufacturing the products of the future Taxon title Manufacturing the products of the future
 R&I Objective 1.5: Advanced Manufacturing processes for smart and complex products Comments When addressing advanced manufacturing processes the approach should be that all products are "complex".
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Title Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation
Description Data and services have become the key factor in optimising manufacturing processes. The need to react to dynamically changing market demands is dramatically rising.
Comments Investigation of advanced HMIs for direct interaction with real-world objects.
 Periodic Reporting for period 1 - COMPOSITION (Ecosystem for Collaborative Manufacturing Processes ? Intra- and Interfactory Integration and Automation) Result title Periodic Reporting for period 1 - COMPOSITION (Ecosystem for Collaborative Manufacturing Processes ? Intra- and Interfactory Integration and Automation)
 D2.3 The COMPOSITION architecture specification I Result description inside the factory to optimise manufacturing and logistics processes.
 COMPOSITION Brokering and Matchmaking components II Result comments   Processes from  M5  to  M34.
 Recycling processes Taxon title Recycling processes
 Waste minimisation Taxon description Waste minimisation is a set of processes and practices intended to reduce the amount of waste produced.
 Human Machine Interfaces Comments Investigation of advanced HMIs for direct interaction with real-world objects.
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Description Traditional manufacturing industry is in the throes of a digital transformation.
Comments In this project, hyperconnectivity in factories is achieved by enabling IoT in training procedures, product development Life-Cycle and design for Manufacturing and assembly.
 Augmented Reality wearable computing and gamification in manufacturing industries Result title Augmented Reality wearable computing and gamification in manufacturing industries
 Periodic Reporting for period 2 - SatisFactory (A collaborative and augmented-enabled ecosystem for increasing SATISfaction and working experience in smart FACTORY environments) Result description Research and Development of advanced signal processing for early incident diagnosis at factory processes incorporating depth and thermal information processing. ?
 iDSS-Decision Support System for Incident Detection and Maintenance in Industries Result comments Manufacturing
 Industry Oriented Gamification Tools Result comments Manufacturing
 Human Resources Workload Balancing Toolkit Result comments Manufacturing
 Augmented Reality Glasses Result comments Manufacturing
 "On-the-job" Training and Educational Platform Result comments Manufacturing
 DELIVERABLE D1.1 - User group definitions, end-user needs, requirement analysis and development guidelines Result comments Manufacturing
 INDUSTRIAL PILOT DEMONSTRATOR 1- CERTH/CPERI – Chemical Process & Energy Resources Institute Result comments Manufacturing
 INDUSTRIAL PILOT DEMONSTRATOR 2 - SUNLIGHT – Battery Construction Industry Result comments Manufacturing
 INDUSTRIAL PILOT DEMONSTRATOR 3 - COMAU – Automotive Industry Result comments Manufacturing
 Advanced and ubiquitous human machine interaction Taxon title Advanced and ubiquitous human machine interaction
 Virtualisation and digitalisation of the interrelation between manufacturing and new business models Taxon description processes.
 Hyperconnected Factories Comments In this project, hyperconnectivity in factories is achieved by enabling IoT in training procedures, product development Life-Cycle and design for Manufacturing and assembly.
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Title RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing
Description The ROSSINI project aims to develop a disruptive, inherently safe hardware-software platform for the design and deployment of human-robot collaboration (HRC) applications in manufacturing.
Comments   Use cases for different set-ups and needs More flexible production and industrial processes reorganisation  Collaborative robot solutions to assist final customer
 Periodic Reporting for period 1 - ROSSINI (RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing) Result title Periodic Reporting for period 1 - ROSSINI (RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing) Result description The ROSSINI project aims to develop a disruptive, inherently safe hardware software platform for the design and deployment of human-robot collaboration (HRC) applications in manufacturing.
 Increasing human achievements in manufacturing systems Taxon title Increasing human achievements in manufacturing systems
 Business development - Access to new markets Taxon description Business development entails tasks and processes to develop and implement growth opportunities within and between organizations.
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Description Maintenance in general and predictive maintenance strategies in particular should now face very significant challenges to deal with the evolution of the equipment, instrumentation and manufacturing processes
Comments processes they support.
 Z-Bre4k semantic modelling Result description Details on Z-Bre4k ontology, modelling of production assets, products, processes and manufacturing operations.
 Advanced manufacturing processes Taxon title Advanced manufacturing processes
 Material efficiency Taxon description projects or physical processes.
 Manufacturing the products of the future Comments processes they support.
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Description SHOP4CF will demonstrate that public funded research can help SMEs & Mid-Caps achieve digital excellence and global competitiveness through adopting advanced robotics solutions in human-centric digitalization
Comments Moreover, the supporting tools will facilitate the design and deployment of the human-centric manufacturing processes.
 R&I Objective 4.3: Human & technology complementarity and excellence in manufacturing Comments Moreover, the supporting tools will facilitate the design and deployment of the human-centric manufacturing processes.
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Description DIY4U will address the blockers of product customisation and small-scale manufacturing by developing an Open Innovation (OI) digital B2B/B2C platform and small-scale automated manufacturing machines (fablabs
Comments Development of Manufacturing Demonstration Facilities (MDF) and DIY4U Training: After analyzing user demands and needs, initial small-scale manufacturing trials of the early personalized
 Advanced manufacturing processes Taxon title Advanced manufacturing processes Taxon description Innovative products and advanced materials (including nano-materials) are emerging but are not yet developing to their full advantage since robust manufacturing methods to deliver these products and materials
 R&I Objective 4.4: Manufacturing Innovation and change management Comments Development of Manufacturing Demonstration Facilities (MDF) and DIY4U Training: After analyzing user demands and needs, initial small-scale manufacturing trials of the early personalized

Associated results & demonstrators

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Title Periodic Reporting for period 3 - COMBILASER (COMbination of non-contact, high speed monitoring and non-destructive techniques applicable to LASER Based Manufacturing through a self-learning system)
Description Reduction of scrap parts and wastes in new pressure sensors (for glow plugs) manufacturing processes of up to a 50 % through laser welding monitoring and process parameters control. ?