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SCEJ 50th Autumn Meeting (Kagoshima, 2018)

Last modified: 2018-09-04 10:00:00

Session programs : SY-68

The abstracts can be viewed by clicking the Paper IDs.
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(The ID/PW have also been sent to the Earlybird registers and invited persons by e-mail.)

SY-68 [Symposium of Division of Systems, Information and Simulation Technologies]
Recent Research and Development of Process Systems Engineering

Organizers: Kano Manabu (Kyoto Univ.), Takatsuka Kayoko (Univ. of Miyazaki), Horie Takafumi (Kobe Univ.)

Hall EA, Day 2

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Hall EA(General Education Building Three 1F 313), Day 2(Sep. 19)
(9:00–10:20) (Chair: Kim Sanghong, Kimura Tsutomu)
9:009:20EA201Management of project cost estimation process based on its resource flow
(Kanagawa U.) *(Reg)Ishii Nobuaki, (U. Tsukuba) Takano Yuichi, (Tokyo Tech) (Reg)Muraki Masaaki
engineering-to-order
project management
simulation
SY-6818
9:209:40EA202Freeze-thaw process design of induced pluripotent stem cells using mechanistic models
(U. Tokyo) *(Stu)Hayashi Yusuke, (Osaka U.) (Reg)Horiguchi Ikki, (Reg)Kino-oka Masahiro, (U. Tokyo) (Reg)Hirao Masahiko, (Reg)Sugiyama Hirokazu
Cryobiology
Numerical simulation
Multiobjective process design
SY-68431
9:4010:00EA203Natural vitamin E purification process design based on the competitive adsorption model ~ development from model system to actual system ~
(Tohoku U.) *(Stu·PCEF)Watanabe Tomoya, (Reg·PCEF)Hiromori Kousuke, (Reg)Takahashi Atsushi, (Reg)Shibasaki-Kitakawa Naomi
process design model
vitamin E purification
actual biomass system
SY-681021
10:0010:20EA204Approach to quantitative improvement of the trade-off relationship between the risks of infection with foot-and mouth disease and budget for epidemic prevention
(U. Miyazaki) *(Reg)Takatsuka Kayoko, Sekiguchi Satoshi, Mukunoki Masayuki, Okazaki Naonobu
Keeling model
risks of infection
budget
SY-68473
10:2010:40Break
(10:40–11:40) (Chair: Horie Takafumi, Matsumoto Hideyuki)
10:4011:00EA206Model predictive control of Czochralski process producing 300 mm single crystal silicon ingot
(Kyoto U.) *(Stu)Kato Shota, (Stu)Yoshioka Hironobu, (Reg·APCE)Kim Sanghong, (Reg)Kano Manabu, (SUMCO) Fujiwara Toshiyuki, (Reg)Mizuta Masahiko, (Kyoto U.) (Reg)Hasebe Shinji
Model predictive control
Czochralski process
Gray-box model
SY-68501
11:0011:20EA207Physical-knowledge based extension of attributes for process monitoring
(TUAT) *(Stu·PCEF)Xia Junqing, (Reg)Yamashita Yoshiyuki
Fault detection
Grey-box modeling
Multi-variable analysis
SY-68670
11:2011:40EA208Optimization of monomer compositions with non-linear regression model for functional polymer design
(U. Tokyo) *(Stu)Shibayama Shojiro, (Reg)Funatsu Kimito
Mixture designs
Optimization
Design of Experiments
SY-681057
(13:00–14:40) (Chair: Kaneko Hiromasa, Kawanabe Takeshi)
13:0013:20EA213Framework for data-driven process improvement and operations support in biopharmaceutical drug product manufacturing
(U. Tokyo) *(Stu)Casola Gioele, (Hoffmann-La Roche) Siegmund Christian, Mattern Markus, (U. Tokyo) (Reg)Sugiyama Hirokazu
Digitalization
Smart manufacturing
Decision-making
SY-68232
13:2013:40EA214Data-driven predictive monitoring and operation support for decontamination processes in biopharmaceutical manufacturing
(U. Tokyo) *(Stu)Zeberli Anicia, Badr Sara, (Hoffmann-La Roche) Siegmund Christian, Mattern Markus, (U. Tokyo) (Reg)Sugiyama Hirokazu
machine learning
predictive maintenance
big data
SY-68249
13:4014:00EA215A new method of identifying major quality factors from multivariate process data
(Fuji Electric) *(Div)Murakami K., (Div)Iisaka T., (Div)Matsui T., (Reg)Tanaka M.
multivariate process data
quality
factor identification
SY-68461
14:0014:20EA216Quantification of variable importance based on nonlinear regression model and its application to causal analysis of defective steel products
(Kyoto U.) Kawakita Takuya, *(Reg)Kano Manabu, (Nippon Steel & Sumitomo Metal) Tani Masahiro, Mori Junichi, Ise Junji, Nishimura Ryohichi, Harada Kohhei
Causal analysis
nonlinear regression model
steel product
SY-68457
14:2014:40EA217A study for estimation of internal state of a micro wave flow reactor using a absorption parameter
(Shizuoka U.) *(Stu)Kitagawa Akiko, (Stu)Uchiyama Taro, (Stu)Tanaka Tatsuya, (Reg)Takeda Kazuhiro
micro wave
flow reactor
estimation
SY-681065
14:4015:00Break
(15:00–16:00) (Chair: Sugiyama Hirokazu, Murakami Kenya)
15:0015:20EA219Investigation of the effect of utilizing the process knowledge for sample selection in soft-sensor design
(Kyoto U.) *(Stu·PCEF)Matsuyama Yukio, (Reg·APCE)Kim Sanghong, (Reg)Hasebe Shinji
Soft-sensor
Sample selection
Domain knowledge
SY-68280
15:2015:40EA220Development of a new evaluation method for soft sensors based on time series data
(Meiji U.) *(Stu)Kojima Takumi, (Reg)Kaneko Hiromasa
soft sensor
time series data
hyper-parameter
SY-68312
15:4016:00EA221Machine combination adjustment in multi-process production system for improving product yield
(Kyoto U.) Suzuki Yoshiaki, *(Reg)Kano Manabu, (Toshiba) Soga Akira, Yanagimachi Takeshi, Murao Ryo, Takaki Masaya
Machine combination
Product yield
Scheduling
SY-68455

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SCEJ 50th Autumn Meeting (Kagoshima, 2018)


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