TITLE: Zero-defect advanced manufacturing via statistical data modeling and monitoring

ABSTRACT:

Advanced Manufacturing is facing a new renaissance, due to the widespread of emerging process technologies (e.g., additive manufacturing, micro and nano-manufacturing) combined to a paradigm shift in sensing and computing. In this scenario, traditional approaches for intelligent data analysis (i.e., statistical data modeling, monitoring and control) need to be revised in order to deal with 3D quality features, multi-stream signal data, noncontact image point clouds. Starting from real industrial problems, some of the main challenges to be faced in these research fields are discussed. Viable solutions to enhance zero-defect manufacturing via in-line, in-situ statistical process monitoring are presented. Special attention is devoted to opportunities arising in metal Additve Manufacturing.

Bio:

Bianca Maria Colosimo is Professor in the Department of Mechanical Engineering of Politecnico di Milano, where she received her MSc and PhD in Industrial Engineering. She spent almost one year at the Pennsylvania State University (PSU) as a post-doc in 2001. Since then, she is cooperating with the Engineering Statistics Laboratory, directed by E. del Castillo (PSU).

Her research interest is mainly in the area of quality engineering (i.e. statistical process monitoring, control and optimization), with special attention to advanced manufacturing processes. On these topics, she is author of 100+ contributions, half of which have been published in peer-reviewed international journals and books. She is member of the Editorial Board of Journal of Quality Technology (American Society for Quality).