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Efficient Automation for Customized products in Swedish Industry - e-FACTORY

Reference number
Coordinator Linköpings universitet - Department of Management and Engineering
Funding from Vinnova SEK 3 289 613
Project duration April 2018 - December 2020
Status Completed
Venture The strategic innovation programme for Production2030

Important results from the project

In order for Swedish companies to remain competitive, the process for customized products must be rationalized and automated. The ambition with e-FACTORY is to integrate all operations from sales, product and production development and delivery of the end product. By implementing the project´s results in configuration and production automation, three of the partner companies are well on their way to achieving a more integrated and rational process from customer order to delivery.

Expected long term effects

e-FACTORY will enable companies to utilize digital tools as a means to obtain a number of different production values. Our hypothesis going into this project was that two main enablers for such values can be achieved with e-FACTORY: 1. integration of sales, product and production development are expected to shorten lead time for ETO products by 50% 2. to reduce the number of product and production errors From the results gathered by the partner companies, our hypothesis have been confirmed by the partner companies implementing configurators and production preparation automation.

Approach and implementation

The project was broken down into several working packages which were primarily categorised on the type of technology applied. These technologies had scattered TRLs from low to high. Hence some of the WPs could be applied on partner companies within 1 year of the project start and some of the WPs are still on very low TRL, these include machine learning and enterprise wide optimisation algorithms. Our hope is to apply keep developing these technologies on upcoming research projects.

External links

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

Last updated 9 March 2021

Reference number 2018-01584