Adaptive Automation in Assembly For BLUE collar workers satisfaction in Evolvable context (A4BLUE)

Steckbrief

Eckdaten

Duration:
01.10.2016 to 30.09.2019
Organizational Unit:
Chair of Prodcution Engineering, Factory Planning
Funding:
Horizon 2020 European Union funding for Research & Innovation
Status:
Closed

Research partner

    • IK4-TEKNIKER
    • Cranfield University
    • AIRBUS Operations
    • SAS ENGINEERING – INGEGNERIA INFORMATICA SPA
    • Illogic CiaoTech S.r.l. (100% PNO Innovation B.V.)
    • Compañía Española de Sistemas Aeronáuticos
    • INGENIERÍA Y SERVICIOS DE AUTOMATIZACIÓN Y ROBÓTICA KOMA

Contact

Name

Tobias Adlon

Oberingenieur

Telephone

work Phone
+49 241 80 24992

E-Mail

 

Modern production systems and product ranges have gradually increasing demands on assembly staff. The EU research project A4BLUE, in cooperation with international partners, therefore aims to develop a new generation of sustainable, adaptive assembly workstations that can cope with the changing requirements of modern production. Automated systems need to perform their tasks flexibly and efficiently in individual and personalized interaction with the worker. The aim is to improve working conditions and worker satisfaction.

At the WZL and PEM a use case is therefore being designed that supports the operator in the assembly of e-vehicles through the use of augmented reality solutions and an automatically moving tool trolley. In preparation for the software implementation of Industry 4.0 solutions, a visualization model is designed that documents the material and immaterial resources of production in a transparent and easily understandable manner. Furthermore, an evaluation concept is developed which enables continuous monitoring of modern assembly workstations in order to validate the implemented solutions. A methodology will also be developed for the future design of assembly systems that will enable sustainable design by identifying and implementing individually optimal and adaptive degrees of automation.