Feng Ju

Asst Professor

Sustainability Scientist, GIOS: Sustainability Initiative
Assistant Professor, IAFSE-CIDSE: Assured and Scalable Data Engineering, Center for (CASCADE)
Assistant Professor, IAFSE-CIDSE: Industrial, Systems and Operations Engineering
Assistant Professor, IAFSE-CIDSE: Embedded Systems, Consortium for (CES)
Assistant Professor, Engineering, Ira A. Fulton Schools of (IAFSE)
Assistant Professor, IAFSE-CIDSE: ASU-Mayo Imaging Informatics Center (AMIIC)

220 Citations
9 h-Index

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3 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

220 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 journal › Article

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 journal › Article

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 proceeding › Conference 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 journal › Article

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 proceeding › Conference contribution

3D printers

Real time control

Printing

Temperature

Aerospace industry