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The Pacific Rim area is one of key manufacturing sites in the world and application of statistical thinking and methods for production engineering has never been more important than with Big Data. Following the success of the first two conferences held at Shanghai Center for Mathematical Sciences in 2014 and Seoul National University in 2016, you are cordially invited to the 3rd Pacific Rim Statistical Conference for Production Engineering (SCPE 2018) at National Tsing Hua University in Hsinchu, Taiwan. The SCPE 2018 highlights the most recent developments and application of statistical thinking and methods for production engineering, in particular smart factory and AI. It features renowned speakers in statistics and engineering from academe and industry, showcasing their work in smart factory and production engineering. The 3-day conference will be composed of six scientific sessions, two panel discussions and two half-day short courses.
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| Organizer: |
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Institute of Statistics, National Tsing Hua University
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| Sponsors: |
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Institute of Statistical Science, Academia Sinica
Mathematics Research Promotion Center
Ministry of Science and Technology
The Chinese Institute of Probability and Statistics
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| Co-sponsors: |
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Artificial Intelligence for Intelligent Manufacturing Systems Research Center
Industrial and Business Section, Korean Statistical Society
International Chinese Statistical Association
Korean International Statistics Society
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| Location / Venue: |
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國立清華大學 旺宏館(學習資源中心) 國際會議廳
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| International Conference Hall, Macronix Building (Learning Resource Center) (1F), National Tsing Hua University (NTHU), Taiwan |
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| 國立清華大學 工程一館 |
| Engineering Building I (1F), National Tsing Hua University (NTHU), Taiwan |
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| Scientific Program Committee： |
| Dongseok Choi |
Ching-Kang Ing |
Dae-Heung Jang |
| Tze Leung Lai |
Dennis K.J. Lin |
Ying Lu |
| Jun Ni |
Peihua Qiu |
George C. Tiao |
| Sheng-Tsaing Tseng |
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| Local Organizing Committee： |
| Nan-Jung Hsu |
Hai-Tang Chiou |
Po-Hsiang Peng |
| Hsueh-Han Huang |
Wan-Ting Shin |
Kuan-Hsuan Jen
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