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

More information

Latest update

6/17/2024