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Command - Communication and Maintenance for the Digital Factory

Reference number
Coordinator RISE Research Institutes of Sweden AB - SICS Swedish ICT Västerås AB
Funding from Vinnova SEK 4 000 000
Project duration December 2016 - November 2018
Status Completed

Purpose and goal

The project "Communication and maintenance for the digital factory" (Command) has benefited from new information and communication technology as well as the Internet-of-Things (IoT) to define, develop and verify solutions in three case studies. The purpose has been to improve production operations, service and maintenance. The project´s solutions have built open commercially available technologies such as Hololens and Power BI from Microsoft and various solutions such as Box for sharing information.

Expected results and effects

The goal of our research was to reduce unplanned downtime by better access to information needed for operators and service technicians. We have seen that the technology is not yet suitable for industrial use but shows that it is useful. We have also investigated how the use of new ICT can improve human communication in a production environment and see that the introduction of this technology requires careful planning. We have finally put together methods for a basis for calculations that show possible economic benefits of investments for IoT-based maintenance.

Planned approach and implementation

The basis for the project has been three different case studies at SSAB, Smurfit Kappa Kraftliner and PodComp. The project has been organized into four work packages: 1) IoT-based maintenance, 2) Competence needs, environment and organization, 3) Support for analysis, and 4) Consequences. SICS Västerås and Interactive Institute Piteå have worked as research partners. Tetra Pak and Prevas have participated in the project for reference discussions.

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 24 January 2019

Reference number 2016-04493

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