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Professor Liji Shen

Chair of Operations Management

Chairholder

Contact:

Building W
D'Esterstraße 11
Campus Vallendar

+49 (0)261 6509 765
liji.shen[at]whu.edu

Education

April 2015 Technische Universität Dresden, Germany, Habilitation
December 2009 Technische Universität Dresden, Germany, Ph.D. (Dr.rer.pol.), summa cum laude
November 2006 Technische Universität Dresden, Germany, Master of Business Administration (Dipl.-Kffr.)

 

Career

since 2017 Editorial Board Operations Research Perspectives
since 2017 Computing Center, Shanghai University, Visiting Scholar
since 2016 Huazhong University of Science and Technology, Visiting Scholar
since 2015 WHU – Otto Beisheim School of Management, Vallendar, Germany, Professor for Operations Management
2010-2015 Technische Universität Dresden, Germany, Post-doc Research Fellow and Lecturer
2013-2015 Technische Universität Dresden, Germany, Director Research Lab Operations Research
since 2011 École des Mines de Saint-Étienne, France, Visiting Scholar

 

Awards and Honors

2021 European Journal of Operational Research, Best Paper Award
2013 DFG (German Research Foundation) and TU Dresden, Germany, Prize for outstanding researchers "Support the Best"
2010 Technical University Dresden, Germany, Dr. Feldbausch-Prize for Best Dissertation
2006-2009 Funding of Young Researchers in Saxony, Germany, Scholarship for Young Researchers in Saxony, Germany
2007 DAAD (German Academic Exchange Service), Prize for Best Foreign Students
2007 GOR (German Operations Research Society), Best Master's Theses

 

Recent publications

Supply Chain Management Group

Dauzère-Pérès, S., Ding, J., Shen, L., Tamssaouet, K. (2024), The flexible job shop scheduling problem: a review, European Journal of Operational Research, Vol. 314 (2), pp. 409-432.

Supply Chain Management Group

Ding, J., Dauzère-Pérès, S., Shen, L., Lü, Z. (2023), A novel evolutionary algorithm for energy efficient scheduling in flexible job shops, IEEE Transactions on Evolutionary Computation, Vol. 27 (5), pp. 1470 - 1484.

Supply Chain Management Group

Shen, L., Dauzère-Pérès, S., Maecker, S. (2023), Energy cost efficient scheduling in flexible job-shop manufacturing systems, European Journal of Operational Research, Vol. 310 (3), pp. 992-1016.

Supply Chain Management Group

Shen, L., Mönch, L., Maecker, S. (2023), Unrelated parallel machine scheduling with eligibility constraints and delivery times to minimize total weighted tardiness, Computers & Operations Research, Vol. 149, 105999.

Supply Chain Management Group

Shen, L., Dauzère-Pérès, S., Neufeld, J. (2022), Corrigendum to: “Solving the flexible job shop scheduling problem with sequence-dependent setup times”, European Journal of Operational Research, Vol. 296 (2), p. 748.

Supply Chain Management Group

Mönch, L., Shen, L. (2021), Parallel machine scheduling with the total weighted delivery time performance measure in distributed manufacturing, Computers & Operations Research, Vol. 127, 105126.

Supply Chain Management Group

Ding, J., Schulz, S., Shen, L., Buscher, U., Lü, Z. (2021), Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization, Computers and Operations Research, Computers & Operations Research, Vol. 125, 105088.

Supply Chain Management Group

Maecker, S., Shen, L. (2020), Solving parallel machine problems with delivery times and tardiness objectives, Annals of Operations Research, Vol. 285 (1-2), pp. 315–334.

Supply Chain Management Group

Ding, J., Shen, L., Lü, Z., Xu, L., Benlic, U. (2020), A hybrid memetic algorithm for the parallel machine scheduling problem with job deteriorating effects, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 4 (3), pp. 385-397.

Supply Chain Management Group

Schulz, S., Buscher, U., Shen, L. (2020), Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices, Journal of Business Economics : JBE = Zeitschrift für Betriebswirtschaft : ZfB, Vol. 90 (9), pp. 1315–1343.

Supply Chain Management Group

Ding, J., Shen, L., Lü, Z., Peng, B. (2019), Parallel machine scheduling with completion-time-based criteria and sequence-dependent deterioration, Computers & Operations Research, Vol. 103, pp. 35-45.

Supply Chain Management Group

Dauzère-Pérès, S., Ding, J., Shen, L., Tamssaouet, K. (2024), The flexible job shop scheduling problem: a review, European Journal of Operational Research, Vol. 314 (2), pp. 409-432.

Supply Chain Management Group

Ding, J., Dauzère-Pérès, S., Shen, L., Lü, Z. (2023), A novel evolutionary algorithm for energy efficient scheduling in flexible job shops, IEEE Transactions on Evolutionary Computation, Vol. 27 (5), pp. 1470 - 1484.

Supply Chain Management Group

Shen, L., Dauzère-Pérès, S., Maecker, S. (2023), Energy cost efficient scheduling in flexible job-shop manufacturing systems, European Journal of Operational Research, Vol. 310 (3), pp. 992-1016.

Supply Chain Management Group

Shen, L., Mönch, L., Maecker, S. (2023), Unrelated parallel machine scheduling with eligibility constraints and delivery times to minimize total weighted tardiness, Computers & Operations Research, Vol. 149, 105999.

Supply Chain Management Group

Shen, L., Dauzère-Pérès, S., Neufeld, J. (2022), Corrigendum to: “Solving the flexible job shop scheduling problem with sequence-dependent setup times”, European Journal of Operational Research, Vol. 296 (2), p. 748.

Supply Chain Management Group

Mönch, L., Shen, L. (2021), Parallel machine scheduling with the total weighted delivery time performance measure in distributed manufacturing, Computers & Operations Research, Vol. 127, 105126.

Supply Chain Management Group

Ding, J., Schulz, S., Shen, L., Buscher, U., Lü, Z. (2021), Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization, Computers and Operations Research, Computers & Operations Research, Vol. 125, 105088.

Supply Chain Management Group

Maecker, S., Shen, L. (2020), Solving parallel machine problems with delivery times and tardiness objectives, Annals of Operations Research, Vol. 285 (1-2), pp. 315–334.

Supply Chain Management Group

Ding, J., Shen, L., Lü, Z., Xu, L., Benlic, U. (2020), A hybrid memetic algorithm for the parallel machine scheduling problem with job deteriorating effects, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 4 (3), pp. 385-397.

Supply Chain Management Group

Schulz, S., Buscher, U., Shen, L. (2020), Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices, Journal of Business Economics : JBE = Zeitschrift für Betriebswirtschaft : ZfB, Vol. 90 (9), pp. 1315–1343.

Supply Chain Management Group

Ding, J., Shen, L., Lü, Z., Peng, B. (2019), Parallel machine scheduling with completion-time-based criteria and sequence-dependent deterioration, Computers & Operations Research, Vol. 103, pp. 35-45.

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