Dan Högberg
Professor of Product Design Engineering
Project TIMEBLY will develop time data management for manual assembly operations at small volumes and large variation.
The digitalization of the manufacturing industry puts focus on the input data. Without accurate time data for all operations it is pointless to use advanced planning algorithms and optimization. One of the most challenging processes to acquire accurate time for, is manual assembly, especially if the assembly operations are complex and the products are produced in small volumes and have large variety.
Project goal
The TIMEBLY project will address these challenges with the ultimate goal to increase the competiveness, enhance the digital readiness and at the same time create a sustainable work environment for the assemblers. The project will cover the whole life-cycle for time data, from determination to revision via how the data is used for planning, improvements, cost estimations etc. This is called time data management (TDM). The technological development with better sensors and more computing power enables new ways of determine the times and new possibilities to do simulations of workplaces, several of these new technologies will be tested and developed in TIMEBLY.
New methods will be tested to develop TDM systems
The challenge of creating time bases for low volume and high variety production will be addressed through a design science approach where the researchers together with the participating companies design and test new methods to efficiently develop TDM systems. The aim is to generalize this knowledge and disseminate to other companies through several channels such as a handbook and workshops.
Publications
2023
Advances in Digital Human Modeling: Proceedings of the 8th International Digital Human Modeling Symposium, 4-6 September 2023, Antwerp, Belgium
2023. Conference paper. https://doi.org/10.1007/978-3-031-37848-5_5
Project Leader
Peter Almström
Chalmers
