Industry 4.0: A cornerstone of the Circular Economy
Data-driven systems identify risks and opportunities in circular business models.
Data-driven systems identify risks and opportunities in circular business models.
A case study of how to integrate circularity concepts into production and supply chain.
Food manufacturers must adapt to rising commodity prices by modifying the composition of food products and increasing local content.
LDCs may have recovered their industrial production but not their trade in manufacturing products.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.
The potential for bringing production back home crucially depends on local innovation ecosystems.
Innovation can provide swift remedies to the COVID-19 linked recession. Policy should contain incentives to innovate in the long-term.