Analysis with manikin for improved geometrical quality during manual assembly
Reference number | |
Coordinator | Chalmers Tekniska Högskola AB - Industri- och materialvetenskap |
Funding from Vinnova | SEK 5 400 000 |
Project duration | October 2019 - December 2022 |
Status | Completed |
Venture | FFI - Sustainable Production |
Call | Sustainable Production - FFI - 2019-06-11 |
End-of-project report | 2019-03111sv.pdf(pdf, 862 kB) (In Swedish) |
Important results from the project
** Denna text är maskinöversatt ** The goal of the project is to analytically determine, using a manikin, the level of complexity of manual assembly operations to achieve better geometrical quality. The aim is to produce an overall solution that enables analytically to simulate and proactively predict a system solution with regards to both the product´s quality and the operators conditions and working environment. A tool and a method that fulfills both aim and objective have been developed in the project and validated on industrial cases.
Expected long term effects
The result of the project is two industrially verified demonstrators and increased knowledge about how mis-constraining affects geometric quality. The effects are being able to analytically predict assembly-related quality risks and problems associated with them already in the early development phase. Moving part of the focus on assembly solutions and process layouts from the preparation phase to the concept phase makes it possible to shorten the time for development of new products. Improvements in both product quality and assembly ergonomics with reduced costs.
Approach and implementation
** Denna text är maskinöversatt ** The project is based on case studies and is based on real quality problems at the participating vehicle manufacturers Volvo Cars, CEVT, NEVS and Scania CV AB. The research has been based partly on previous results from the projects Decision support for early estimation of quality deficiency costs and Proactive assembly ergonomic and geometric quality assurance for sustainable production, partly on data from a number of new product concepts. The research has been carried out by Chalmers and FCC together.