With the arrival of Cyber-Physical Systems or Internet of Things (IoT) era, the massive human- and machine-generated data can create unprecedented challenges and at the same time unmatched opportunities in advancing the theory, methods, tools and practice of Data-Driven Design (D3) for products, systems and services. By exploiting such huge, versatile and highly contextualized through-life data, design engineers can harness their organization's competitive edge by uncovering patterns, novel insights and knowledge for D3. The aim of this special issue is to bring together original and archival articles that present significant contributions in advancing the D3 field. Examples of D3 topics of interest include (but are not limited to):
Relevance to engineering design will be explicitly considered as a criterion in the review process.
Please submit your paper to ASME at http://journaltool.asme.org/Content/index.cfm and note on the cover page...