2015 - Special Session on From Data to Insight: Big Data and Analytics for Smart Manufacturing Systems

We are soliciting papers for a special session on From Data to Insight: Big Data and Analytics for Smart Manufacturing Systems.
Smart manufacturing system requires capabilities and technologies for designing and improving the overall system performance through diagnostic and prognostic assessment based on (big) data analytics. The right insight derived from big data could lead to right actions for enhancing sustainability, productivity, flexibility, and competitive advantages and enabling sustainable and agile manufacturing.
This special session invites contributions from different engineering disciplines to bring out common issues and specific challenges that address Big data analytics for design, manufacturing, post-manufacturing and reuse phases for Smart Manufacturing Systems.
An initial set of topics includes (but not limited to):
Manufacturing Key Performance Indicators (KPIs)
- Predictive analytics for sustainability, quality, agility, asset utilization
- Probabilistic methods for performance metrics
Models, Algorithms and Uncertainty Quantification (UQ)
- Uncertainty modeling for manufacturing system performance
- Industrial use cases for UQ across life cycle in manufacturing
Business Best Practices and Big Data Applications for Smart Manufacturing Systems
- Design and deployment of data analytics especially for SMEs:
use cases for design, production and post-production phases
- Virtual factory and machine models for data generation
Standards and Protocols: PMML, PFA, MTConnect, CRISP-DM, etc.
Technologies and ICT Infrastructure for Big Data Analytics and Deployment:
- Analytical Tools (R, Matlab, Python, KNIME, etc.),
- Cloud Computing services (Amazon Web Services, IBM Cloud, etc.)
- Distributed computing/processing and storage software (Hadoop, Storm, etc.)
Session Organizers
Dr. Sudarsan Rachuri,
Systems Integration Division,
National Institute of Standards and Technology
Gaithersburg, MD 20899
E-mail: sudarsan.rachuri-AT-nist.gov
Phone: +1-301 975 4264
Dr. Ronay Ak,
Systems Integration Division
National Institute of Standards and Technology
Gaithersburg, MD 20899
E-mail: ronay.ak-AT-nist.gov
Phone: +1-301 975 8655
Prof. Sagar V. Kamarthi,
Department of Mechanical and Industrial Engineering
Northeastern University
Boston, MA. 02115
Email: sagar-AT-coe.neu.edu
Phone: 617-373-3070