OPTIMAI | Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization
01-01-2021
-30-06-2024
01-01-2021
-30-06-2024
01-11-2020
-31-10-2024
01-10-2020
-31-03-2024
01-01-2021
-31-12-2023
01-06-2020
-30-11-2022
01-10-2020
-30-09-2024
01-10-2017
-30-09-2021
17-12-2018
-30-06-2022
01-12-2019
-30-11-2022
01-11-2019
-30-04-2023
01-01-2020
-31-12-2023
The DigiPrime project aims to address the issue of poor data and knowledge exchange among value chain stakeholders and sectors, which hinders cross-sectoral circular economy opportunities and limits the uptake of reusable materials by end customers. To solve this problem, the project is developing a digital platform concept that aims to overcome the current information asymmetry among value chain stakeholders. The project's main goal is to unlock new circular business models by focusing on the data-enhanced recovery and reuse of functions and materials from high-value-added post-use products as the foundation of its platform.
To achieve this, the project has planned standardization activities that cover two complementary aspects:
By doing so, the project aims to promote consistency in the circular economy and improve the efficiency of data and knowledge exchange among value chain stakeholders.
01-01-2020
-31-12-2023
01-10-2019
-31-03-2024
01-10-2019
-30-09-2023
Volunteers from FEUP, CERTH, and UNI collaborated to compile all the technical and standard data for the formulation of the technical specification based on the specifications specified by the pilots' leaders. A full explanation of the use cases and the machines involved in the refurbishment, remanufacturing, and retrofitting during the RECLAIM project has been developed using the needs that were determined during the information gathering phase. The matrix of requirements for the identification of the prospective issues to be the challenge at the RECLAIM project has been finished by the industrial partners Gorenje, Fluchos, Podium, Harms & Wende, and Zorlutek. The demand and gap in the standardised field were included in these matrices, which is a crucial factor to consider the technical solution in the future. UNI carried out the standardised analysis plan from the input data given by other partners involved in this endeavour.
The main standardisation gaps to be considered during the RECLAIM project were: Monitoring Sensors: Alignment verification, quality and density of water pipeline, energy consumption of the furnace, real time monitoring; Predictive Maintenance: Definition of standards to predict shutdown; Human Error: Need of standardized procedure to record spare parts.
01-11-2019
-31-10-2023
01-11-2019
-31-10-2023
01-05-2019
-31-07-2022