MACHINAIDE
Knowledge-based services for and optimisation of machines
Project description
Machine builders are collecting data related to their products within different formats and tools since several years. The number of related Digital Twins increases each time, products of other manufacturers become included in the own one, or in case of acquiring other companies. For coping with this development, MACHINAIDE aims to support innovative concepts for accessing, searching, analysing and using multiple Digital Twins data for the major purpose of increasing usability and functional upgrading of machines and equipment within the crane and printing machine domains.

https://www.machinaide.eu
Finland
Aalto University
Finland
IDEAL GRP
Finland
Konecranes Global Corporation
Finland
Remion
Finland
RollResearch International Oy
Finland
Korea, Republic of
CIP System Ltd.
Korea, Republic of
ETRI (Electronics and Telecommunications Research Institute)
Korea, Republic of
Netherlands
Additive Industries
Netherlands
CORDIS Automation B.V.
Netherlands
Eindhoven University of Technology
Netherlands
KE-works BV
Netherlands
Lely Industies N.V.
Netherlands
TNO
Netherlands
Türkiye
Dakik Yazilim Teknolojileri
Türkiye
Doğru Bilgi Teknolojileri
Türkiye
ERSTE Software Limited
Türkiye
Teknopar Industrial Automation
Türkiye
Project publications
- MACHINAIDE Project profile leaflet Project Leaflet 08 February 2021 Download
- Voortdurend optimaliseren van machines zonder productieverlies Press article 09 March 2020
Work package documents
- D1.2 State-of-the-Art Description_V1.pdf Work package document 05 April 2021
- D5.1 Methodology and specification of data interfaces and machine improvement strategy for digital twins across lifecycle phases.pdf Work package document 30 June 2021