Scientific Motivation
Motivation
The manufacturing environments of 2030 will be complex, large-scale networked data and information systems in which humans and machines cooperate, collaborate, and communicate seamlessly in the design and production of a wide range of products, and promote and accommodate numerous interoperating manufacturing applications. Inspired by innovations in computer and networked systems in the past two decades, attendees will re-conceptualize the abstractions of manufacturing environments to enable the development of a powerful suite of 2030 manufacturing services and systems that, for example:
- plug into an expansible architecture and reside in the cloud;
- are intelligent, precise, predictable, affordable, and reliable;
- enable distributed design and manufacturing;
- will be virtualized for a wide variety of clients with a range of interests;
- provide methods for safeguarding the security and trustworthiness of manufacturing system elements and integrate them to support end-to-end assurances;
- provide means by which to establish and maintain evidence-based certification and controlled visibility of explicit and implicit assumptions;
- promote and accommodate interoperating manufacturing applications, including hardware computing platforms, operating systems, and middleware;
- generate and verify machine instructions and provide guidance in design for manufacturability;
- enable the development of product- and domain-focused parametric design applications that connect to manufacturing resources and incorporate process constraints to reduce or eliminate the need for detailed process knowledge; and,
- provide methods for selecting and efficiently allocating networked manufacturing resources, including the decomposition of designs that optimize allocation based on multiple criteria.