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.
The ID/PW printed on the PROGRAM book are required.
(The ID/PW have also been sent to the Earlybird registers and invited persons by e-mail.)
The ID/PW printed on the PROGRAM book are required.
(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
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Hall EA, Day 2 | |||||
| (9:00–10:20) (Chair: | |||||
| EA201 | Management of project cost estimation process based on its resource flow | engineering-to-order project management simulation | SY-68 | 18 | |
| EA202 | Freeze-thaw process design of induced pluripotent stem cells using mechanistic models | Cryobiology Numerical simulation Multiobjective process design | SY-68 | 431 | |
| EA203 | Natural vitamin E purification process design based on the competitive adsorption model ~ development from model system to actual system ~ | process design model vitamin E purification actual biomass system | SY-68 | 1021 | |
| EA204 | Approach to quantitative improvement of the trade-off relationship between the risks of infection with foot-and mouth disease and budget for epidemic prevention | Keeling model risks of infection budget | SY-68 | 473 | |
| Break | |||||
| (10:40–11:40) (Chair: | |||||
| EA206 | Model predictive control of Czochralski process producing 300 mm single crystal silicon ingot | Model predictive control Czochralski process Gray-box model | SY-68 | 501 | |
| EA207 | Physical-knowledge based extension of attributes for process monitoring | Fault detection Grey-box modeling Multi-variable analysis | SY-68 | 670 | |
| EA208 | Optimization of monomer compositions with non-linear regression model for functional polymer design | Mixture designs Optimization Design of Experiments | SY-68 | 1057 | |
| (13:00–14:40) (Chair: | |||||
| EA213 | Framework for data-driven process improvement and operations support in biopharmaceutical drug product manufacturing | Digitalization Smart manufacturing Decision-making | SY-68 | 232 | |
| EA214 | Data-driven predictive monitoring and operation support for decontamination processes in biopharmaceutical manufacturing | machine learning predictive maintenance big data | SY-68 | 249 | |
| EA215 | A new method of identifying major quality factors from multivariate process data | multivariate process data quality factor identification | SY-68 | 461 | |
| EA216 | Quantification of variable importance based on nonlinear regression model and its application to causal analysis of defective steel products | Causal analysis nonlinear regression model steel product | SY-68 | 457 | |
| EA217 | A study for estimation of internal state of a micro wave flow reactor using a absorption parameter | micro wave flow reactor estimation | SY-68 | 1065 | |
| Break | |||||
| (15:00–16:00) (Chair: | |||||
| EA219 | Investigation of the effect of utilizing the process knowledge for sample selection in soft-sensor design | Soft-sensor Sample selection Domain knowledge | SY-68 | 280 | |
| EA220 | Development of a new evaluation method for soft sensors based on time series data | soft sensor time series data hyper-parameter | SY-68 | 312 | |
| EA221 | Machine combination adjustment in multi-process production system for improving product yield | Machine combination Product yield Scheduling | SY-68 | 455 | |
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SCEJ 50th Autumn Meeting (Kagoshima, 2018)
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