Project: OPTIMAL
Updated at: 30-01-2024
Project: A4BLUE
Updated at: 22-12-2023
In the deburring process, manual labor is reduced, resulting in improved ergonomic and safety conditions. Moreover, process variability is reduced while quality and productivity, increased. In the assembly process, training time has been reduced with the AR solution and access to centralized documentation is faster, with greater transparency and ease of use while its maintenance costs have been reduced.
Project: Factory2Fit
Updated at: 05-10-2022
The ARAG solution reduces the cognitive load, and increases the technician’s satisfaction, while the precise guidance assures optimality and correctness in task execution. Furthermore, with the proposed solution training time is minimized as well as inspection by experts, also reducing manufacturing times and maximizing resource utilization.
Project: Factory2Fit
Updated at: 05-10-2022
The method selection tool can also be used by non-experts as there is no need of vast know-how for the utilization of the offered tool. Therefore, the layman can easily select the right method out of a wide range. Codesign itself strengthens the companies as the workers can include their tacit knowledge into the workplace - or work process design and therefore have a higher commitment to their job once their ideas are implemented.
Project: Factory2Fit
Updated at: 04-10-2022
Project: Factory2Fit
Updated at: 04-10-2022
SoMeP emphasizes in improving collaboration and communication between technicians and promotes knowledge sharing, and practices. In the long-term SoMeP can be used both as a communication channel and information exchange hub, but also as a valuable knowledge repository as well as an educational system.
Project: Factory2Fit
Updated at: 04-10-2022
With the proposed solution, online training can be scheduled optimally, shortening training time. Moreover, training supports understanding and dealing with exceptional situations such as disturbances in production. Increased productivity and job satisfaction are expected, lowering the threshold of operators to start using the manufacturing line independently.
Project: INCLUSIVE
Updated at: 04-10-2022
The use of the INCLUSIVE HMI leads to a 4.2 % reduction in the average time required. For the second use case, the use of the INCLUSIVE HMI leads to a much larger decrease in execution time of 69.7 % when compared to the current HMI system. Moreover, a usability questionnaire has been filled in by testers, allowing to conclude that the INCLUSIVE HMI was perceived as an improvement with regards to the current HMI for all dimensions, for instance frequently usage, complexity, ease of use, functions, consistency, and learning effort.
Project: INCLUSIVE
Updated at: 04-10-2022
Project: HUMAN
Updated at: 04-10-2022
Thanks to the use of HUMAN technology, COMAU assembly lines are more flexible to the anthropometric, physical and cognitive needs of the workers, and hence to the cognitive and physical requirements of variable operations of variable orders. This will reduce the setup and production times.
Project: HUMAN
Updated at: 04-10-2022
As a result of the project, Airbus DS will be able to reduce the time to market of new aircraft and aircraft systems significantly, due to the important improvements in ergonomic and interactive workplaces, helping to increase the flexibility and pliability of the different production lines.
Project: Factory2Fit
Updated at: 04-10-2022
Project: HUMAN
Updated at: 04-10-2022
Through the solutions of HUMAN, it will be possible to process the production in smaller batches increasing the adaptability of each production line to all workers. Furthermore, HUMAN will enable ROYO to increase flexibility and adaptability in every production line at the shop floor, based on the ability to manage/predict their own effort during the shift avoiding pains beforehand, and moreover to eliminate waste and reduce errors and stress.
Project: Factory2Fit
Updated at: 04-10-2022
Project: INCLUSIVE
Updated at: 04-10-2022
The customisation capability reflects in terms of reduced vehicles downtime and increased assignment of supervision jobs to vulnerable users. Moreover, the maintenance phases are shortened resulting in less downtime that provides an increase of the productivity of the total system (human and automation).
Project: A4BLUE
Updated at: 04-10-2022
Adaptation to human variation is boosted, reducing work requirements and worker’s physical demands without incrementing mental and cognitive workload. Additionally, safety and trust in collaborative workplaces are risen while improving usability and human satisfaction. Reconfigurability and flexibility are also improved, as well as efficiency due to the reduction of displacements.
Project: A4BLUE
Updated at: 04-10-2022
Project: A4BLUE
Updated at: 04-10-2022
The goals for this use case include assembly time reduction, minimization of errors, and increase of efficiency, productivity and quality. What is more, with AR training and learn-by-doing method adoption, productivity of newcomers is also increased. Finally, a full quality assurance approach and traceability for supervision is enabled.
Project: DISRUPT
Updated at: 19-12-2019
Project: CloudiFacturing
Updated at: 18-06-2019
By accelerating and upscaling the structuring process, the OPTIMAL project will increase the process efficiency and yield, which will allow for “first time right” fabrication of the required structures, lower consumption of resources, waste reduction, lower CO2 emissions, increase of productivity, and cost reduction.