In recent years, data analytics is transforming processes in
various industries. Data analytics offers a huge potential for
enhancing operational performance, and has become an essential
tool for helping organizations improve their processes. Deep
knowledge of process operations in conjunction with data
analytics leads to new insights from the operational data
already collected. Such a system will reduce the need for
complex, engineering-intensive modeling and can create new value
in process improvement.
This special session welcomes research papers using data analytics to address the issues and challenges related to process improvement in various contexts, including manufacturing, service, and business processes. Topics of interest include (but are not restricted to):
• Quality and productivity improvement
• Improving business efficiency & operations
• Multistage process optimization
• Best of best path analysis in a multistage process
• Scheduling optimization
• Multiresponse optimization
• Mean-variance optimization
• Quality control
• Anomaly detection
• Automatic inspection
Prof. Kwang-Jae Kim, Pohang University of Science and
Prof. Dong-Hee Lee, Sungkyunkwan University, Korea
Delegates are encouraged to submit their full papers/abstract to the special sessions. Please submit your electronically article in PDF format before the submission deadline.
Please select the special session 5 when making submission.
Note: if there are any questions, please send mail to email@example.com.