SUMMIT - SUstainability, sMart Maintenance and factory desIgn Testbed

Reference number
Coordinator CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG - Chalmers tekniska högskola AB, Göteborg
Funding from Vinnova SEK 8 000 000
Project duration November 2017 - April 2021
Status Ongoing
Venture The strategic innovation programme for Production2030
Call Test bed for increased digitalization for the Swedish industry

Purpose and goal

SUMMIT focuses on sustainability (using eco-efficiency and circularity toolkits available), smart maintenance (using machine learning approaches on top of the most recent developed software available) and factory design (using newly developed workplace design and layout software connected to real manufacturing data) phases to strengthen Swedish industries. The VDL will provide remote access to the testbed through internet as w ell as local onsite access in order to interact, show case and evaluate the digitalization benefits developed.

Expected results and effects

The expected effect is to realize the full value of production data in the design and maintenance phases to increase sustainability, efficiency, and robustness in Swedish manufacturing industry. SUMMIT results in improved sustainability, efficiency and robustness at production systems in Swedish industry through utilization of production data analytics within design and maintenance of production systems.

Planned approach and implementation

SUMMIT aims at inviting Swedish industry to use the Virtual Development Laboratory (VDL) at Chalmers to collaborate, develop and show case the true benefits of digitalization. A typical test case procedure in the SUMMIT project: 1. Collect and stream industrial data to the VDL 2. Model scenarios related to factory design and/or smart maintenance 3. Analyze the outcome of the model by performing evaluations in multi-disciplinary teams 4. Integrate decision support solutions in the industrial environment and feedback findings to the original green-field or brown-field system.

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

Last updated 8 January 2019

Reference number 2017-04773

Page statistics