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Digitalization of Supply Chain in Swedish Additive Manufacturing (DiSAM)

Reference number
Coordinator RISE IVF AB - Avdelningen för Tillverkning
Funding from Vinnova SEK 7 061 050
Project duration November 2017 - November 2021
Status Completed
Venture The strategic innovation programme for Production2030

Important results from the project

DiSAM´s aim: Increased competitiveness in Swedish industry through additive manufacturing, AM. Objective: A unique test and demo platform. DiSAM was based on case studies for AM, where digitalisation has focused on innovation, information flows and security. Examples are companies that adapt products to customers with AM, to use two methods for AM in metal, how to secure “Intellectual Properties” at AM. Test bed resources at the parties have been central. The pandemic has limited, but DiSAM has contributed to regionally stronger networks and planning of an AM Applikationscenter.

Expected long term effects

Project results are guidance on digitalisation in additive manufacturing, and targeted knowledge based on a number of case studies for AM. This includes direct industrial benefits and increased knowledge of the interaction between the digital and the physical world. Long-term effects: DiSAM has contributed to knowledge transfer and to a project portfolio within AM and digitalisation. R&D project is e g P2030 DiDAM, and support to reach more companies has been made through networks and AM application center. The industrial utility of AM is evolving rapidly.

Approach and implementation

DiSAM´s starting point was both physical and digital flows at AM. To clarify these, several different case studies for AM have been conducted with a wide range from R&D to industrial benefits. This includes both a new understanding of AM in different product life cycles, and business value through custom ordered manufacturing with AM. The digital information channels have been described based on the specific needs in each case study and supply chain. A generic model for digitalization has been created, which with each case study is described in an "Digital Model Guide for AM", enclosed.

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 18 March 2022

Reference number 2017-04776