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Time data management

Time Data Management Automation for Manual Assembly

The goal for TIMEBLY is to increase competitiveness, create sustainable workplaces and improve conditions for digitization through better time basis for manual assembly.

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 results and effects

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.

Summary

Project name

TIMEBLY

Status

Completed

RISE role in project

Dissemination

Project start

Duration

3 years

Total budget

5 000 000 SEK

Partner

Chalmers University of Technology, BAE Systems Bofors, University of Skövde, KTH Royal Institute of Technology, RISE, Scania CV, Solme, Fraunhofer-Chalmers Centre for Industrial Mathematics, Strömsholmen, Swegon, SAAB Dynamics

Funders

Vinnova

Coordinators

Project members

Events

Supports the UN sustainability goals

9. Industry, innovation and infrastructure
12. Responsible consumption and production
Björn Backman

Contact person

Björn Backman

Forskare

+46 10 228 47 71

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Sandra Mattsson

Contact person

Sandra Mattsson

Senior Forskare

+46 10 228 47 62

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