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Feng Ju

Feng Ju

Assistant Professor, School of Computing, Informatics, and Decision Systems Engineering, Ira A. Fulton Schools of Engineering

fengju@asu.edu

480-965-1746

School of Computing, Informatics and Decision Systems Engineering
Arizona State University
PO Box 878809
Tempe, AZ 85287-8809

Titles

  • Senior Sustainability Scientist, Julie Ann Wrigley Global Institute of Sustainability
  • Assistant Professor, School of Computing, Informatics, and Decision Systems Engineering, Ira A. Fulton Schools of Engineering

Education

  • PhD, Industrial and Systems Engineering, University of Wisconsin, 2015
  • MS, Electrical and Computer Engineering, University of Wisconsin, 2011
  • BS, Electronic Engineering, Shanghai Jiao Tong University, 2010

Expertise

External Links

Journal Articles

2019

Kang, Y. and F. Ju. 2019. Integrated analysis of productivity and machine condition degradation: Performance evaluation and bottleneck identification. IISE Transactions DOI: 10.1080/24725854.2018.1494867. (link )

Wang, F., F. Ju and N. Kang. 2019. Transient analysis and real-time control of geometric serial lines with residence time constraints. IISE Transactions DOI: 10.1080/24725854.2018.1511937. (link )

2018

Estrada, G., D. L. Shunk and F. Ju. 2018. Systematic continuous improvement model for variation management of key characteristics running with low capability. International Journal of Production Research 56(6):2370-2387. DOI: 10.1080/00207543.2017.1369599. (link )

Ju, F., K. Lee, X. Yu, N. R. Faris, F. Rugless, S. Jiang, J. Li and R. U. Osarogiagbon. 2018. reducing bottlenecks to improve the efficiency of the lung cancer care delivery process: A process engineering modeling approach to patient-centered care. Journal of Medical Systems 42:16. DOI: 10.1007/s10916-017-0873-6. (link )

Lee, H. K., F. Ju, R. U. Osarogiagbon, N. R. Faris, X. Yu, F. Rugless, S. Jiang and J. Li. 2018. A system-theoretic method for modeling, analysis, and improvement of lung cancer diagnosis-to-surgery process. EEE Transactions on Automation Science and Engineering 15(2):531-544. DOI: 10.1109/TASE.2016.2643627. (link )

2017

Ju, F., J. Li and W. Deng. 2017. Selective assemby system with unreliable Bernoulli machines and finite buffers. IEEE Transactions on Automation Science and Engineering 14(1):171-184. DOI: 10.1109/TASE.2016.2604371. (link )

Ju, F., J. Li and J. A. Horst. 2017. Transient analysis of serial production lines with perishable products: Bernoulli reliability model. IEEE Transactions on Automatic Control 62(2):694-707. DOI: 10.1109/TAC.2016.2572119. (link )

Kang, N., F. Ju and L. Zheng. 2017. Transient analysis of geometric serial lines with perishable intermediate products. IEEE Robotics and Automation Letters 2(1):149-156. DOI: 10.1109/LRA.2016.2581300. (link )

Zhang, Q., F. Ju, S. Zhang, W. Deng, J. Wu and C. Gao. 2017. Power management for hybrid energy storage system of electric vehicles considering inaccurate terrain information. IEEE Transactions on Automation Science and Engineering 14(2):608-618. DOI: 10.1109/TASE.2016.2645780. (link )

2016

Ju, F., W. Deng and J. Li. 2016. Performance evaluation of modularized global equalization systems for lithium-ion battery packs. IEEE Transactions on Automation Science and Engineering 13(2):986-996. DOI: 10.1109/TASE.2015.2434052. (link )

2015

Ju, F., H. K. Lee, R. U. Osarogiagbon, X. Yu, N. R. Faris and J. Li. 2015. Computer modeling of lung cancer diagnosis-to-treatment process. Translational Lung Cancer Research 4(4):404-414. DOI: 10.3978/j.issn.2218-6751.2015.07.16. (link )

Ju, F., J. Li, G. Xiao, J. Arinez and W. Deng. 2015. Modeling, analysis, and improvement of integrated productivity and quality system in battery manufacturing. IIE Transactions 47(12):1313-1328. DOI: 10.1080/0740817X.2015.1005777. (link )

2014

Ju, F., J. Li, G. Xiao, N. Huang and S. Biller. 2014. A quality flow model in battery manufacturing systems for electric vehicles. IEEE Transactions on Automation Science and Engineering 11(1):230-244. DOI: 10.1109/TASE.2013.2237765. (link )

2013

Ju, F., J. Li, G. Xiao and J. Arinez. 2013. Quality flow model in automotive paint shops. International Journal of Production Research 51(31):6470-6483. DOI: 10.1080/00207543.2013.824629. (link )

Ju, F., J. Wang, J. Li, G. Xiao and S. Biller. 2013. Virtual battery: A battery simulation framework for electric vehicles. IEEE Transactions on Automation Science and Engineering 10(1):5-15. DOI: 10.1109/TASE.2012.2203121. (link )

Book Chapters

2017

Ju, F., J. Li, G. Xiao, N. Huang, J. Arinez, S. Biller and W. Deng. 2017. Improving battery manufacturing through quality and productivity bottleneck indicators. Pp. 29-56 In: Li, J., S. Zhou and Y. Han eds., Advances in Battery Manufacturing, Service, and Management Systems. John Wiley & Sons,Inc. Hoboken, NJ. ISBN: 978-1119056492.

Ju, F., Q. Zhang, W. Deng and J. Li. 2017. Review of structures and control of battery-supercapacitor hybrid energy storage system for electric vehicles. Pp. 303-318 In: Li, J., S. Zhou and Y. Han eds., Advances in Battery Manufacturing, Service, and Management Systems. John Wiley & Sons, Inc.. Hoboken, NJ. ISBN: 978-1119056492.

Zhang, Q., W. Deng, J. Wu, F. Ju and J. Li. 2017. Power management control strategy of battery-supercapacitor hybrid energy storage system used in electric vehicles. Pp. 319-354 In: Li, J., S. Zhou and Y. Han eds., Advances in Battery Manufacturing, Service, and Management Systems. John Wiley & Sons, Inc. Hoboken, NJ. ISBN: 978-1119056492.

2015

Arenas Guerrero, C. P., F. Ju, J. Li, G. Xiao and S. Biller. 2015. Hybrid/electric vehicle battery manufacturing: The state-of-the-art. Pp. 795-816 In: Zhou, M., H. Li and M. Weijnon eds., Contemporary Issues in Systems Science and Engineering. John Wiley & Sons, Inc.. Hoboken, NJ. ISBN: 978-1118271865.