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| Website: | http://www.teknopar.com.tr |
| Organisation: | Teknopar Industrial Automation |
| Contact: | Contact this portal member |
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MiE_Potential_26-01 Industrial metrics of resilience and impact of decision-making on sustainability and competitiveness
MiE_Potential_26-02 Smart data-driven intralogistics, factory and process automation and metrics of productivity
MiE_Potential_26-03 Advanced manufacturing for critical machinery components
MiE_Potential_26-04 Energy optimisation in discrete manufacturing
MiE_Potential_26-05 Manufacturing for circular compliance
MiE_Potential_27-01 Process optimization and servitisation for measurable impact on operational efficiency and productivity
MiE_Potential_27-02 New frameworks for natural and intelligent Human-Machine Collaboration in manufacturing
MiE_25-27_RP13: Augmentation of human capabilities for inclusive and socially sustainable manufacturing
MiE_25-27_RP13b: Cognitive augmentation of human capabilities for inclusive and socially sustainable manufacturing
Comment:
R&I Objective 4.3 included in "MADE IN EUROPE Horizon Production partnership in Europe - Strategic Research and Innovation Agenda (SRIA)" is considered to be directly related to this issue. Cognitive development of human capabilities for inclusive and socially sustainable production in priority areas, which is one of the MiE 25-27 priorities, refers to the use of technology and tools to develop and expand human cognitive abilities. In a manufacturing context, it involves leveraging technologies such as artificial intelligence (AI), machine learning, augmented reality (AR), and other advanced tools to empower workers and make their tasks more efficient.
MiE_Potential_27-03 Upscaling innovative manufacturing processes for advanced products
MiE_Potential_27-04 Upscaling the manufacturing of products with composed of secondary materials
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R&I Objective 3.1 included in "MADE IN EUROPE Horizon Production partnership in Europe - Strategic Research and Innovation Agenda (SRIA)" is considered to be directly related to this issue. The development of net-zero discrete manufacturing processes and value chains depends on energy efficiency technologies. These technologies significantly contribute to lowering faults and downtime by fostering reliable and consistent manufacturing and maximizing resource efficiency. It is possible to detect defects early and maintain equipment effectively by combining predictive quality and non-destructive inspection techniques. Energy-saving techniques also promote a culture of continual development and raise customer happiness, ultimately boosting the sector's environmental sustainability and commercial competitiveness.