• 392 Citations
  • 10 h-Index
20062019
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Fingerprint Dive into the research topics where Seungjun Shin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Machining Engineering & Materials Science
Process planning Engineering & Materials Science
Industrial plants Engineering & Materials Science
Sustainable development Engineering & Materials Science
Machine tools Engineering & Materials Science
Monitoring Engineering & Materials Science
Industry Engineering & Materials Science
Life cycle Engineering & Materials Science

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Research Output 2006 2019

  • 392 Citations
  • 10 h-Index
  • 27 Article
  • 7 Conference contribution

A Hybrid Learning-based Predictive Process Planning Mechanism for Cyber-Physical Production Systems

Shin, S., 2019 Apr 1, In : Journal of the Korean Society for Precision Engineering. 36, 4, p. 391-400 10 p.

Research output: Contribution to journalArticleResearchpeer-review

Process planning
Industrial plants
Metal cutting
Machine tools
Learning systems

An energy-efficient process planning system using machine-monitoring data: A data analytics approach

Shin, S., Woo, J., Rachuri, S. & Seo, W., 2019 May 1, In : CAD Computer Aided Design. 110, p. 92-109 18 p.

Research output: Contribution to journalArticleResearchpeer-review

Process planning
Monitoring
Machining
Decision making
Computer aided process planning
2 Citations (Scopus)

Simulating a virtual machining model in an agent-based model for advanced analytics

Lechevalier, D., Shin, S., Rachuri, S., Foufou, S., Lee, Y. T. & Bouras, A., 2019 Apr 1, In : Journal of Intelligent Manufacturing. 30, 4, p. 1937-1955 19 p.

Research output: Contribution to journalArticleResearchpeer-review

Machining
Monitoring
Milling (machining)
Milling machines
Computer systems

A model-driven predictive analytics approach for machining time using historical machine-monitoring data

Meilanitasari, P. & Shin, S., 2018 Nov 1, In : ICIC Express Letters. 12, 11, p. 1145-1153 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Machining
Monitoring
Machine shops
Process planning
Machine tools

An approach to generating reference information for technology evaluation

Kim, E., Ock, Y. S., Shin, S. & Seo, W., 2018 Sep 7, In : Sustainability (Switzerland). 10, 9, 3200.

Research output: Contribution to journalArticleResearchpeer-review

technology assessment
firm
peer group
evaluation
efficiency