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Fingerprint Dive into the research topics where Feng Ju is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Electric vehicles Engineering & Materials Science
Energy storage Engineering & Materials Science
Productivity Engineering & Materials Science
Transient analysis Engineering & Materials Science
Degradation Engineering & Materials Science
Repair Engineering & Materials Science
Inspection Engineering & Materials Science
Markov processes Engineering & Materials Science

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Research Output 2009 2019

  • 213 Citations
  • 9 h-Index
  • 22 Article
  • 21 Conference contribution
  • 4 Chapter

Flexible preventative maintenance for serial production lines with multi-stage degrading machines and finite buffers

Kang, Y. & Ju, F., Jul 3 2019, In : IISE Transactions. 51, 7, p. 777-791 15 p.

Research output: Contribution to journalArticle

Degradation
Agglomeration
Experiments
1 Citation (Scopus)

Integrated analysis of productivity and machine condition degradation: Performance evaluation and bottleneck identification

Kang, Y. & Ju, F., Jan 1 2019, (Accepted/In press) In : IISE Transactions.

Research output: Contribution to journalArticle

Productivity
Degradation
Industrial plants
Agglomeration
Decision making

Joint optimization of operating mode and part sequence for robot loading process considering real-time health condition

Kang, Y. & Ju, F., Aug 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019. IEEE Computer Society, p. 48-53 6 p. 8842891. (IEEE International Conference on Automation Science and Engineering; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robotic arms
Health
Robots
Production control
Productivity

Performance Evaluation of Production Systems Using Real-Time Machine Degradation Signals

Kang, Y., Yan, H. & Ju, F., Jan 1 2019, (Accepted/In press) In : IEEE Transactions on Automation Science and Engineering.

Research output: Contribution to journalArticle

Real time systems
Degradation
Throughput
Markov processes
Productivity

Real-time control for large scale additive manufacturing using thermal images

Wang, F., Ju, F., Rowe, K. & Hofmann, N., Aug 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019. IEEE Computer Society, p. 36-41 6 p. 8843264. (IEEE International Conference on Automation Science and Engineering; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3D printers
Real time control
Printing
Temperature
Aerospace industry

Projects 2016 2020