The design and production of complex engineered systems (CES) require analysis of massive amounts of detailed information, including data on products and materials, engineering designs, manufacturing specifications, supply chain and delivery data, and changing customer needs. Visual analytics promises to offer tools and methods that will help stakeholders interactively explore, discover, and make sense of the underlying data. Our work focuses on the early design phase during which a large design space is explored, inconsistencies are identified, poor alternatives are pruned, and valuable alternatives are considered further. We demonstrate our ideas through an example of a two-degree-of-freedom robot and look at opportunities for future work for visualization in manufacturing design.
The Computational Enterprise Science Lab focuses on the design, analysis, and management of complex enterprise systems (e.g. organizations, supply chains, business ecosystems) using information visualization, modeling/simulation, and system science approaches.
