Seung-Jun Shin
Cited by
Cited by
Predictive analytics model for power consumption in manufacturing
SJ Shin, J Woo, S Rachuri
Procedia Cirp 15, 153-158, 2014
Data analytics using simulation for smart manufacturing
G Shao, SJ Shin, S Jain
Proceedings of the winter simulation conference 2014, 2192-2203, 2014
A conceptual framework for the ubiquitous factory
JS Yoon, SJ Shin, SH Suh
International Journal of Production Research 50 (8), 2174-2189, 2012
Reincarnation of G-code based part programs into STEP-NC for turning applications
SJ Shin, SH Suh, I Stroud
Computer-Aided Design 39 (1), 1-16, 2007
Manufacturing data analytics using a virtual factory representation
S Jain, G Shao, SJ Shin
International Journal of Production Research 55 (18), 5450-5464, 2017
UbiDM: A new paradigm for product design and manufacturing via ubiquitous computing technology
SH Suh, SJ Shin, JS Yoon, JM Um
International Journal of Computer Integrated Manufacturing 21 (5), 540-549, 2008
STEP-compliant CNC system for turning: Data model, architecture, and implementation
SH Suh, DH Chung, BE Lee, S Shin, I Choi, KM Kim
Computer-Aided Design 38 (6), 677-688, 2006
Energy efficiency of milling machining: Component modeling and online optimization of cutting parameters
SJ Shin, J Woo, S Rachuri
Journal of Cleaner Production 161, 12-29, 2017
Developing a big data analytics platform for manufacturing systems: architecture, method, and implementation
J Woo, SJ Shin, W Seo, P Meilanitasari
The International Journal of Advanced Manufacturing Technology 99 (9), 2193-2217, 2018
A decision-guidance framework for sustainability performance analysis of manufacturing processes
DB Kim, SJ Shin, G Shao, A Brodsky
The International Journal of Advanced Manufacturing Technology 78, 1455-1471, 2015
Developing a virtual machining model to generate MTConnect machine-monitoring data from STEP-NC
SJ Shin, J Woo, DB Kim, S Kumaraguru, S Rachuri
International Journal of Production Research 54 (15), 4487-4505, 2016
Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: molybdenum material
HW Cho, SJ Shin, GJ Seo, DB Kim, DH Lee
Journal of Materials Processing Technology 302, 117495, 2022
Developing a decision support system for improving sustainability performance of manufacturing processes
SJ Shin, DB Kim, G Shao, A Brodsky, D Lechevalier
Journal of Intelligent Manufacturing 28, 1421-1440, 2017
Towards a virtual factory prototype
S Jain, D Lechevalier, J Woo, SJ Shin
2015 Winter Simulation Conference (WSC), 2207-2218, 2015
Decision guidance methodology for sustainable manufacturing using process analytics formalism
G Shao, A Brodsky, SJ Shin, DB Kim
Journal of Intelligent Manufacturing 28, 455-472, 2017
Predictive modeling for machining power based on multi-source transfer learning in metal cutting
YM Kim, SJ Shin, HW Cho
International Journal of Precision Engineering and Manufacturing-Green …, 2022
Simulating a virtual machining model in an agent-based model for advanced analytics
D Lechevalier, SJ Shin, S Rachuri, S Foufou, YT Lee, A Bouras
Journal of intelligent manufacturing 30, 1937-1955, 2019
A green productivity based process planning system for a machining process
SJ Shin, SH Suh, I Stroud
International Journal of Production Research 53 (17), 5085-5105, 2015
A holonic-based self-learning mechanism for energy-predictive planning in machining processes
SJ Shin, YM Kim, P Meilanitasari
Processes 7 (10), 739, 2019
Standard data-based predictive modeling for power consumption in turning machining
SJ Shin, J Woo, S Rachuri, P Meilanitasari
Sustainability 10 (3), 598, 2018
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