DISRUPT | Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration
01-09-2016
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01-09-2016
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01-10-2016
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01-10-2016
-30-09-2019
A results-oriented approach driven by commercial offers with market tension for each of the cases analysed has been adopted. These offers are very close to industrial offers.
Three main cases have been presented, which are the result of a Exploitation Plan selection process. These cases integrate a technical and economic dimension with different levels of detail:
Apart from these three main cases, 2 complementary ones have been identified, but developed to a lesser extent:
01-10-2016
-30-09-2019
01-09-2012
-31-08-2016
The Data-Driven Digita Twin Platform, Smart ProdACTIVE , is property of EnginSoft
01-10-2016
-30-09-2019
01-10-2016
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11-01-2015
-31-10-2018
01-10-2016
-30-09-2019
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.
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.
Improved technician satisfaction has been noted, as well as reduced process times and improved process efficiency with reduced errors. Moreover, the assembly process has benefited from better ergonomics and shorter waste time.
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.
01-11-2012
-31-10-2016
01-10-2019
-31-03-2023
01-05-2017
-31-10-2020
07-11-2017
-06-05-2020
01-09-2015
-31-08-2018
01-10-2016
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01-01-2018
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01-10-2016
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01-05-2010
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01-03-2020
-29-02-2024
01-09-2019
-30-11-2022
OPEN!NEXT builds upon the vision that SMEs are the best placed to release the formidable potential of OSH in terms of product innovation and business incubation. The project aims to establish a company-community ecosystem, facilitate the engagement of SMEs in efficient collaboration with OSH communities and open up new avenues for value creation.
01-09-2016
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01-01-2021
-31-12-2023
01-06-2020
-31-03-2023
15-10-2019
-14-10-2022
01-10-2018
-31-03-2023
01-10-2012
-31-12-2022
01-10-2016
-30-09-2019
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).
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.
The introduction of the hybrid robot/bender panel system allows to reach production efficiency and accuracy, and a more flexible interchange of operators with different characteristics.