Special
Session 1:
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
predictive modeling for Smart Manufacturing Systems. An initial set of
topics includes (but is not limited to): Manufacturing Key Performance
Indicators (KPIs); Methods, Technologies, and IT Infrastructure for Big
Data and Data Analytics; Standards and Protocols; and Business Best
Practices for Smart Manufacturing Systems.
Figure 1 depicts the concept and main topics of the special session.
Figure
1. The concept and main topics of the special session
Organizers
Dr. Sudarsan Rachuri,
Program Manager of Smart Manufacturing Systems Design and Analysis
National Institute of Standards and Technology
E-mail: sudarsan.rachuri@nist.gov
Phone: +1-301 975 4264
Fax: +1-301 258 9749
Dr. Juyeon Lee, IT Converged Process R&BD
Group
Korea Institute of Industrial Technology
E-mail: ljy0613@kitech.re.kr
Phone: +82-31-8040-6163
Fax: +82-31-8040-6170
Prof. Kincho H. Law, Engineering Informatics,
Civil and Environmental Engineering
Stanford University
E-mail: law@stanford.edu
Phone: +1- 650-725-3154
Fax: +1- 650-723-7514
Invited Speaker
Dr. Athulan Vijayaraghavan,
CTO, System Insights
Title: The Internet of Manufacturing Things
The speaker’s presentation slide can be downloaded at here.
Paper #1
“CloudMan:
A Platform for Portable Cloud Manufacturing Services”
by Soheil Qanbari,
Samira Mahdi Zadeh, Soroush
Vedaie, and Schahram Dustdar, TUW, Austria.
The paper presentation slide can be downloaded
at here.
Paper #2
“An Intelligent Machine
Monitoring System Using Gaussian Process Regression for Energy Prediction”
by Raunak Bhinge, Jinkyoo Park, Nishant Biswas, Moneer Helu, David Dornfeld, Kincho Law, and Sudarsan Rachuri, Berkeley,
USA
The paper presentation slide can be downloaded
at here.
Paper #3
“Building a Rigorous
Foundation for Performance Assurance Assessment Techniques for ‘Smart’
Manufacturing Systems”
by Utpal Roy, Yunpeng Li, and Bicheng Zhu,
Syracuse University, USA
The paper presentation slide can be downloaded
at here.
Paper #4
“Towards a
Domain-Specific Framework for Predictive Analytics in Manufacturing”
by David Lechevalier,
Anantha Narayanan, and Sudarsan
Rachuri, NIST, USA
The paper presentation slide can be downloaded
at here.
Paper #5
“Uncertainty
Quantification in Performance Evaluation of Manufacturing Processes”
by Saideep Nannapaneni and Sankaran Mahadevan, Vanderbilt University, USA
The paper presentation slide can be downloaded
at here.
Paper #7
“Toward Smart
Manufacturing: Monitoring, Analysis, Planning and Execution using Decision
Guidance Analytics”
by Alexander Brodsky, Mohan Krishnamoorthy,
Daniel Menasce, Guodong
Shao, and Sudarsan Rachuri,
George Mason University, USA
The paper presentation slide can be downloaded
at here.
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