To realize the vision of the Factory of the Future, manufacturers are starting to implement advanced analytics and artificial intelligence in their operations. Leveraging these technologies end-to-end, from engineering to delivery, would unlock more value and innovation but remains challenging.
Advanced analytics and AI require large amounts of data from various sources to train decision-making and prediction algorithms. Not all manufacturers have sufficient data nor expertise to fuel these applications, so they need to obtain data from, and work with, other companies. This will help them improve their ability to anticipate problems and gain efficiency in their production processes.
Additionally, most manufacturers have low transparency into their value chains. Close collaboration is needed to understand product location, condition and authenticity. With more transparency into production processes, companies can not only provide better quality and new solutions but also prevent fraud, improve inventory management and respond to unexpected disruptions.
Unlocking Value in Manufacturing through Data Sharing project aims to:
- Understand business needs driving data sharing and the value of data sharing
- Identify relevant use cases as well as suitable technologies and formats
- Define success factors in preparing for and building data ecosystems in manufacturing
- Consider the role of governments and standardization in encouraging data sharing
Shedding light on these issues, this project can help manufacturers make the best of their collective data and build successful data ecosystems in manufacturing to address business needs they cannot address alone.