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Jingshan Li, Ph.D.

Affiliations: 
2000 University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
System Science Engineering, Industrial Engineering
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"Jingshan Li"
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Semyon Meerkov grad student 2000 University of Michigan
 (Production variability in manufacturing systems: A systems approach.)

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Publications

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Diamantidis A, Lee J, Papadopoulos CT, et al. (2020) Performance evaluation of flow lines with non-identical and unreliable parallel machines and finite buffers International Journal of Production Research. 58: 3881-3904
Zeng Z, Fan Z, Xie X, et al. (2020) A two-level iteration approach for modeling and analysis of rapid response process with multiple deteriorating patients Flexible Services and Manufacturing Journal. 32: 35-71
Chen N, Xie X, Zeng Z, et al. (2019) Improving Discharge Process at the University of Wisconsin Hospital: A System-Theoretic Method Ieee Transactions On Automation Science and Engineering. 16: 1732-1749
Park K, Li J. (2019) Improving productivity of a multi-product machining line at a motorcycle manufacturing plant International Journal of Production Research. 57: 470-487
Papadopoulos CT, Li J, O'Kelly MEJ. (2019) A classification and review of timed Markov models of manufacturing systems Computers & Industrial Engineering. 128: 219-244
Park K, Li J, Feng SC. (2018) Scheduling Policies in Flexible Bernoulli Lines with Dedicated Finite Buffers. Journal of Manufacturing Systems. 48
Lee J, Li J, Horst JA. (2018) Serial Production Lines With Waiting Time Limits: Bernoulli Reliability Model Ieee Transactions On Engineering Management. 65: 316-329
Zhao C, Kang N, Li J, et al. (2018) Production Control to Reduce Starvation in a Partially Flexible Production-Inventory System Ieee Transactions On Automatic Control. 63: 477-491
Lee J, Zhao C, Li J, et al. (2018) Analysis, design, and control of Bernoulli production lines with waiting time constraints Journal of Manufacturing Systems. 46: 208-220
Su W, Xie X, Li J, et al. (2017) Reducing Energy Consumption in Serial Production Lines with Bernoulli Reliability Machines. International Journal of Production Research. 55
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