School of Engineering Science
Through an increased degree of digitization, industrial work instructions in the last 20 years have given an increasingly digital representation.
Despite strong technical development, the knowledge surrounding the design of the instructions has not changed at the same rate. This has, among other things, given quality deficiencies, efficiency deficiencies and a lower degree of inclusion of staff groups. The central challenge for the present project is to demonstrate how systematic development of cognitive support and information design can increase quality and flexibility in future production.
The project will deliver knowledge, guidelines and technical demonstrators that demonstrate and improve efficiency in information use and reduce 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.
The project begins with an analyzer of both the companies' current situation and the academic literature's view of industrial work instructions. This is followed by an iterative technology development and evaluation phase that follows in concrete guidelines for technical information delivery. Finally, implement solutions on existing case studies along with development of three demonstrators.
Cognitive Computing and Internet of Things: Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, San Francisco, USA, 20-24 July, 2023
2023. Conference paper. https://doi.org/10.54941/ahfe1003292