| |
|
| |
Proceeding #: 82
Optimal Sourcing, Supply and Development of Carbon Dioxide Networks for Enhanced Oil Recovery in CCUS Systems
Demian Presser, Vanina Cafaro and Diego Cafaro
|
| |
Proceeding #: 83
Production scheduling in multiproduct multistage semicontinuous processes. A constraint programming approach
Lautaro Marcolini, Franco Novara and Gabriela Henning
|
| |
Proceeding #: 84
Maintenance scheduling optimization for decaying performance nonlinear dynamic processes
Bogdan Dorneanu, Vassilis Vassiliadis and Harvey Arellano-Garcia
|
| |
Proceeding #: 85
Cleaning Schedules for Heat Exchanger Networks Subjected to Maintenance Constrains
Parag Patil, Babji Srinivasan and Rajagopalan Srinivasan
|
| |
Proceeding #: 86
Estimating Energy Market Schedules using Historical Price Data
Nicole Cortes, Xian Gao, Bernard Knueven and Alexander Dowling
|
| |
Proceeding #: 87
Scheduling of Material and Information Flows in the Manufacturing of Chemicals for the Order-to-Cash Process of a Digital Supply Chain
Hector Perez, John Wassick and Ignacio Grossmann
|
| |
Proceeding #: 88
Optimization of Maximum Completion Time of Polymerization Section Based on Improved Estimation of Distribution Algorithm
Jian Su, Yuhong Wang, Su Zhang and Xiaoyong Gao
|
| |
Proceeding #: 89
Evolutionary Algorithm-based Optimal Batch Production Scheduling
Christian Klanke, Engelbert Pasieka, Dominik Bleidorn, Christian Koslowski, Christian Sonntag and Sebastian Engell
|
| |
Proceeding #: 90
Cream Cheese Fermentation Scheduling
Misagh Ebrahimpour, Wei Yu and Brent Young
|
| |
Proceeding #: 98
Green Ammonia Supply Chain Design for Maritime Transportation
Hanchu Wang, Prodromos Daoutidis and Qi Zhang
|
| |
Proceeding #: 99
Optimal agriculture residues revalorization as a biofuel alternative in electric power grids
Sergio Iván Martínez-Guido, Claudia Gutiérrez-Antonio, Juan Fernando Garcia-Trejo and Fernando Israel Gómez-Castro
|
| |
Proceeding #: 100
Global Supply Chain Optimization for COVID-19 Vaccine under COVAX initiative
Apoorva Katragadda, Xiaonan Wang and Iftekhar Abubakar Karimi
|
| |
Proceeding #: 101
Optimal Liquefied Natural Gas (LNG) Annual Delivery Program Reflecting both Supplier and Customer Perspectives
Dnyanesh Deshpande, Rajagopalan Srinivasan and Iftekhar Karimi
|
| |
Proceeding #: 102
The Waste-to-Resource Game: Informed Decision-Making for Plastic Waste Transformers
Fabian Lechtenberg, Antonio Espuña and Moisès Graells
|
| |
Proceeding #: 103
Implications of Optimal BECCS Supply Chains on Absolute Sustainability
Valentina Negri and Gonzalo Guillén-Gosálbez
|
| |
Proceeding #: 104
A Multi-Disciplinary Assessment of Innovations to Improve Grocery Bag Circularity
Kevin Dooley, Fatima Hafsa, Matt Scholz, Bhavik Bakshi, Vyom Thakker, George Basile and Raj Buch
|
| |
Proceeding #: 105
Process Sustainable Supply Chain: integrating monetization strategies in the design and planning
Cátia da Silva, Ana Barbosa-Póvoa and Ana Carvalho
|
| |
Proceeding #: 111
A systematic methodology for the optimisation, control and consideration of uncertainty of reactive distillation
Eva Sorensen, Aikaterini Tsatse, Stijn Oudenhoven and Antoon ten Kate
|
| |
Proceeding #: 112
Equation Oriented Optimization of Multi Stream Heat Exchanger Design and Operation in Natural Gas Liquefaction Process
Saif Kazi, Rahul Gandhi and Lorenz Biegler
|
| |
Proceeding #: 113
Optimal Design of Extractive Dividing-Wall Column Using an Improved Sequential Least Squares Programming Algorithm
Yingjie Ma, Nan Zhang and Jie Li
|
| |
Proceeding #: 114
Biphasic Dehydration of Sugars to 5-Hydroxymethylfurfural and Furfural—Multiscale Modeling for Easier Optimization and More Accurate Solvent Selection
Abhimanyu Pudi, Martin Andersson and Seyed Soheil Mansouri
|
| |
Proceeding #: 115
Study of Mass Transfer Coefficient of CO2 Capture in Different Solvents using Microchannel: A Comparative Study
Bushra Khatoon, Shabih Ul Hasan and M. Siraj Alam
|
| |
Proceeding #: 116
Techno-Economic Study of Intensified Ethylene Oxide Production Using High Thermal Conductivity Microfibrous Entrapped Catalyst
Chinmoy B. Mukta, Nikhil R. Rayaprolu, Selen Cremaschi, Mario R. Eden and Bruce J. Tatarchuk
|
| |
Proceeding #: 129
Flexible and Sustainable Methanol Production Including Option with Green Hydrogen
Nga Thi Quynh Do, Stephane Haag, Frank Castillo-Welter and Armin Guenther
|
| |
Proceeding #: 130
Optimization and Heat Exchanger Network Design of Diethyl Carbonate Two-step Synthesis Process from CO2 and Propylene Oxide
Tsai-Wei Wu and I-Lung Chien
|
| |
Proceeding #: 131
Characterization of Industrial Flaring under Uncertainty for the Design of Optimum Flare Recovery and Utilization Systems
Monzure-Khoda Kazi, Fadwa Eljack, Nikolaos Kazantzis, Vasiliki Kazantzi and Saad Ali Al-Sobhi
|
| |
Proceeding #: 132
Development of Micro Scale ORC Using Low Grade Geothermal Thermal Energy
Ryosuke Akimoto, Yasuhiko Suzuki, Yuki Ogasawara, Masaru Nakaiwa and Keigo Matsuda
|
| |
Proceeding #: 133
Scenario Outcomes for Electric Power Generation Expansion Planning considering the State of Indiana as a Case Study
Abdul Ahmed, Kayla L. Richardson, Yufei Zhao and Cornelius M. Masuku
|
| |
Proceeding #: 134
Requirements for the quality assessment of virtual commissioning models of modular process plants
Isabell Viedt, Jonathan Mädler, Julius Lorenz and Leon Urbas
|
| |
Proceeding #: 278
Towards An Automated Physical Model Builder: CSTR Case Study
Shota Kato and Manabu Kano
|
| |
Proceeding #: 279
Forward physics-informed neural networks for catalytic CO2 methanation via isothermal fixed-bed reactor
Son Ich Ngo and Young-Il Lim
|
| |
Proceeding #: 280
Hashing-based just-in-time learning for big data quality prediction
Xinmin Zhang, Jiang Zhai, Zhihuan Song and Yuan Li
|
| |
Proceeding #: 281
Physics-constrained autoencoder neural network for the prediction of key granule properties in a twin-screw granulation process
Chaitanya Sampat and Rohit Ramachandran
|
| |
Proceeding #: 282
CSTR control with deep reinforcement learning
Borja Martinez, Manuel Rodriguez and Ismael Diaz
|
| |
Proceeding #: 283
Application of machine learning and big data for smart energy management in manufacturing
Manu Suvarna, Pravin P.S, Ken Shaun Yap and Xiaonan Wang
|
| |
Proceeding #: 284
Adaptive least-squares surrogate modeling for reaction systems
Robert Franzoi, Brenno Menezes, Jeffrey Kelly and Christopher Swartz
|
| |
Proceeding #: 285
Machine Learning and Inverse Optimization Approach for Model Indentification of Scheduling Problems in Chemical Batch Plants
Hidehisa Togo, Kohei Asanuma and Tatsushi Nishi
|
| |
Proceeding #: 286
Decision-Focused Surrogate Modeling with Feasibility Guarantee
Rishabh Gupta and Qi Zhang
|
| |
Proceeding #: 287
Grade transition optimization by using gated recurrent unit neural network for styrene-acrylonitrile copolymer process
Shi-Chang Chang, Chun-Yung Chang, Hao-Yeh Lee and I-Lung Chien
|
| |
Proceeding #: 288
Development of Estimating Algorithm for Biodegradation of Chemicals Using Clustering and Learning Algorithm
Kazuhiro Takeda
|
| |
Proceeding #: 289
Surrogate Classification based on Accuracy and Complexity
Maaz Ahmad and Iftekhar A. Karimi
|
| |
Proceeding #: 290
Training Stiff Dynamic Process Models via Neural Differential Equations
William Bradley, Gabriel S. Gusmão, Andrew J. Medford and Fani Boukouvala
|
| |
Proceeding #: 291
Wiz 4.0: A Novel Data Visualization and Analytics Dashboard for a Graphical Approach to Industry 4.0
Louis Allen, Jack Atkinson, Joan Cordiner, Mohammad Zandi and Peyman Moghadam
|
| |
Proceeding #: 292
About data reduction techniques and the role of outliers for complex energy systems
Luise Middelhauve and Francois Marechal
|
| |
Proceeding #: 293
deepGSA: Plant data-driven global sensitivity analysis using deep learning
Adem Rosenkvist Nielsen Aouichaoui, Resul Al and Gürkan Sin
|
| |
Proceeding #: 294
Analyzing Different Dynamically Modelled Data Structures and Machine Learning Algorithms to Predict PM2.5 Concentration in China
Danny Hartanto Djarum, Nur Hidanah Anuar, Zainal Ahmad and Jie Zhang
|
| |
Proceeding #: 295
A multi-output machine learning approach for generation of surrogate models in process engineering
Jimena Ferreira, Martín Pedemonte and Ana I. Torres
|
| |
Proceeding #: 296
Practical Human Interface System for Transition Guidance in Chemical Plants using Reinforcement Learning
Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka, Yasuo Fujisawa, Masanori Endo, Atsushi Uchimura, Masahiko Tatsumi, Norio Esaki, Gentaro Fukano, Tsutomu Kimura, Akihiko Imagawa and Takayasu Ikeda
|
| |
Proceeding #: 297
Surrogate modeling for nonlinear gasoline blending operations
Tasabeh Ali, Robert Franzoi and Brenno Menezes
|
| |
Proceeding #: 298
Continuous Manufacturing Process Sequential Prediction using Temporal Convolutional Network
Haoran Li and Tong Qiu
|
| |
Proceeding #: 299
Surrogate Modeling for Mixed Refrigerant Streams in the Refrigeration Cycle of an LNG Plant
Aisha Al-Hammadi, Robert Franzoi, Omar Ibrahim and Brenno Menezes
|
| |
Proceeding #: 300
Prediction for heat deflection temperature of polypropylene composite with Catboost
Chonghyo Joo, Hyundo Park, Seokyoung Hong, Jongkoo Lim, Insu Han, Hyungtae Cho and Junghwan Kim
|
| |
Proceeding #: 301
A New Machine Learning Framework for Efficient MOF Discovery: Application to Hydrogen Storage
Teng Zhou, Zihao Wang and Kai Sundmacher
|
| |
Proceeding #: 302
Data-driven Modeling for Magma Density in the Continuous Crystallization Process
Nahyeon An, Hyukwon Kwon, Hyungtae Cho and Junghwan Kim
|
| |
Proceeding #: 303
Gaussian Process Regression Machine Learning Models for Photonic Sintering
Ke Wang, Mortaza Saeidi-Javash, Minxiang Zeng, Zeyu Liu, Yanliang Zhang, Tengfei Luo and Alexander Dowling
|
| |
Proceeding #: 304
Development of dye exhaustion behavior prediction model using deep neural network
Jonghun Lim, Soohwan Jeong, Sungsu Lim, Hyungtae Cho, Jae Yun Shim, Seok Il Hong, Soon Chul Kwon, Heedong Lee, Il Moon and Junghwan Kim
|
| |
Proceeding #: 305
Guaranteed Error-bounded Surrogate Modeling and Application to Thermodynamics
Ashfaq Iftakher, Chinmay M. Aras, Mohammed Sadaf Mojur and M. M. Faruque Hasan
|
| |
Proceeding #: 306
Development of an ANN-based soft-sensor to estimate pH variations in Intelligent Packaging Systems with visual indicators
Isadora F. Brazolin, Felipe Matheus M. Sousa, Flavio V. Silva, Viktor O. C. Concha and Cristiana M. P. Yoshida
|
| |
Proceeding #: 307
Process Systems Engineering Guided Machine Learning for Speech Disorder Screening in Children
Farnaz Yousefi Zowj, Kerul Suthar, Marisha Speights and Peter He
|
JST: Japan Standard Time (UTC+9).
Time with asterisk* indicates the time of the date one day before.
Time with double dagger‡ indicates the time of the date one day after.
