Distributed manufacturing

• Identifying and developing sustainable, recyclable materials
• Designing next-generation materials for additive manufacturing; learning from nature to enable the synthesis of non-polluting, recyclable, long-term materials
• Reducing waste throughout a material’s life cycle
• As algorithms for creating new materials or substituting materials for existing ones are developed, share this via common databases with standardized terminology
• Improve qualification, certification processes of new materials via development of normalized descriptions and a database for materials’ physical parameters

2. Tools and Processes

• Distributed manufacturing will need to re-engineer for configurable, cost-effective hard tooling designs
• Profitably design high-quality tools and processes on demand to create a wide range of products
• Engineer simple, cost-effective monitoring devices and multi-signal sensors, and then leverage AI/ML computation for enhanced feedback learning
• Enabling distributed use requires designing multiple, adaptable small tools integrating subtractive and additive processes that can be implemented at a smaller scale

 3. Data Analytics and Quality Assurance

• Designing systems for in situ, real-time data collection
• Designing a generic playbook for processes accessible to small- and medium-sized businesses and creating a template incorporating general purpose, interoperable standards

If manufacturing is to play a key role in the 21st-century U.S. economy, bold action must be taken to return the sector to prominence.

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