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Completed PROJECT GRANT Swedish Research Council

Factory Resource and Energy Efficiency through Digitalization (FREED)

9.91M kr SEK

Funder Vinnova
Recipient Organization Chalmers University of Technology
Country Sweden
Start Date Apr 01, 2021
End Date Dec 31, 2021
Duration 274 days
Number of Grantees 1
Roles Principal Investigator
Data Source Swedish Research Council
Grant ID 2020-05180_Vinnova
Grant Description

Purpose and goal:

Environmental impacts need to be considered as high-priority drivers of performance alongside cost, quality, safety, delivery times and customer satisfaction. Increasingly complex factors of performance need to be monitored, often resulting in large amounts of data, presenting a new challenge for production management. Through its specific objectives, FREED aimed to support resource-efficient/green manufacturing by investigating how data-informed approaches could support the implementation of eco-efficiency and circular economy concepts at factory level.

Expected results and effects: The FREED pre-study focused on data-informed environmental improvements in manufacturing. The main outcomes are:

- Literature review of current empirical research on green manufacturing, including suggestions to overcome industrial challenges using digitalization as an enabler

- Industrial practice review to create a typology for data-informed environmental improvements and for learning/dissemination of good practices

- Maturity assessment model and procedure to evaluate the maturity of current data management systems to support environmental performance management Approach and implementation:

The pre-study focused on digital maturity to support green manufacturing. Accordingly, two main activities were conducted: a state-of-the-art review and a maturity assessment. The state-of-the-art review covered scientific publications and industrial practices to bridge the knowing-doing gap.

The maturity assessment model was tested at Autoliv and Volvo to further develop it. The results point to strengths and areas of improvement which can be used as foundations for future projects and initiatives on data-informed approaches for environmental performance management.

All Grantees

Chalmers University of Technology

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