Digital work Instructions for cognitive work - DIGITALIS
Research Project, 2022
– 2024
Purpose and goal
Through an increased degree of digitalisation, industrial work instructions have been given an increasingly digital representation in the last 20 years. Despite strong technical development, knowledge about the design of instructions has not changed at the same rate. This has given quality deficiencies, efficiency deficiencies, and a lower degree of inclusion of staff groups. The central challenge for this project is to demonstrate how systematic development of cognitive support and information design can increase quality and flexibility in future production.
Expected results and effects
The project will deliver knowledge, guidelines, and technical demonstrators that show and improve efficiency in information use and leads to less quality problems from information use and that in the longer term lead to more sustainable, inclusive and attractive workplaces, improved resilience and a better preparedness for demographic changes.
Planned approach and implementation
The project begins with analyzes of both the companies´ current situation and the academic literature´s view of industrial work instructions. This is followed up by an iterative technology development and evaluation phase that results in concrete guidelines for technical information delivery. Finally, implementations of solutions are carried out on existing case studies along with the development of three demonstrators.
Participants
Omkar Salunkhe (contact)
Chalmers, Industrial and Materials Science, Production Systems
Huizhong Cao
Chalmers, Industrial and Materials Science, Production Systems
Johan Stahre
Chalmers, Industrial and Materials Science, Production Systems
Hao Wang
Chalmers, Industrial and Materials Science, Production Systems
Collaborations
CEJN AB
Skövde, Sweden
ESI Group
Paris, France
H&D Wireless
Kista, Sweden
Husmuttern AB
Torshälla, Sweden
RISE Research Institutes of Sweden
Göteborg, Sweden
Saab Aeronautics AB
Sweden
Swegon
Västra frölunda, Sweden
University of Skövde
Skövde, Sweden
Volvo Group
Gothenburg, Sweden
Funding
VINNOVA
Project ID: 2022-01280
Funding Chalmers participation during 2022–2024
Related Areas of Advance and Infrastructure
Sustainable development
Driving Forces
Production
Areas of Advance