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Time Data Management Automation for Manual Assembly - TIMEBLY

Reference number
Coordinator Chalmers Tekniska Högskola AB - Chalmers Tekniska Högskola Inst f Tekn ekonomi & organisation
Funding from Vinnova SEK 5 166 000
Project duration November 2021 - October 2024
Status Ongoing
Venture FFI - Sustainable Production

Purpose and goal

The digitalization of the manufacturing industry puts focus on the input data. One of the most challenging processes to acquire accurate time for, is manual assembly and materials handling. The TIMEBLY project will address these challenges with the ultimate goal to increase the competitiveness, enhance the digital readiness and at the same time create a sustainable work environment. 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.

Expected effects and result

TIMEBLY’s improved collection and analysis of data for manual tasks will have four major impacts: 1. Better planning conditions, through better time bases where deviations can be separated from the normal state. 2. Enable product introduction and volume change, through simulations using digital human models (DHM) and efficient process planning. 3. Accurate product life cycle cost calculations to prioritize improvement efforts and make correct offers to customers. 4. Fair work load and better workplace design, by having more accurate time data.

Planned approach and implementation

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.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 19 November 2021

Reference number 2021-02524