WHU

Prof. Dr. Liji Shen

Lehrstuhl für Operations Management

Lehrstuhlinhaberin

Kontakt:

Gebäude W
D'Esterstraße 11
Campus Vallendar

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

Akademischer Werdegang

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

 

Beruflicher Werdegang

seit 2017 Editorial Board Operations Research Perspectives
seit 2017 Computing Center, Shanghai University, Gastprofessur
seit 2016 Huazhong University of Science and Technology, Gastprofessur
seit 2015 WHU – Otto Beisheim School of Management, Vallendar, Deutschland, Professor für Operations Management
2010-2015 Technische Universität Dresden, Deutschland, Wissenschaftlicher Mitarbeiter und Dozent
2013-2015 Technische Universität Dresden, Deutschland, Direktor Research Lab Operations Research
seit 2011 École des Mines de Saint-Étienne, France, Gastprofessur

 

Auszeichnungen und Ehrungen

2021 European Journal of Operational Research, Best Paper Award
2013 DFG (German Research Foundation) und TU Dresden, Deutschland, Auszeichnung für herausragende Wissenschaftler "Support the Best"
2010 Technische Universität Dresden, Deutschland, Dr. Feldbausch-Prize für eine herausragende Dissertation
2006-2009 Förderung von Nachwuchswissenschaftlerinnen Sachsen, Deutschland, Stipendium für Junge Weibliche Forscherinnen
2007 DAAD und TU Dresden, Deutschland, DAAD-Auszeichnung für "Best Foreign Students"
2007 German Operations Research Society, Deutschland, Auszeichnung der Diplomarbeit

 

Aktuelle Publikationen

Supply Chain Management Group

The flexible job shop scheduling problem

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

A novel evolutionary algorithm for energy efficient scheduling in flexible job shops

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

Energy cost efficient scheduling in flexible job-shop manufacturing systems

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

Unrelated parallel machine scheduling with eligibility constraints and delivery times to minimize total weighted tardiness

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

Corrigendum to: “Solving the flexible job shop scheduling problem with sequence-dependent setup times”

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

Parallel machine scheduling with the total weighted delivery time performance measure in distributed manufacturing

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

Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization, Computers and Operations Research

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

Solving parallel machine problems with delivery times and tardiness objectives

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

A hybrid memetic algorithm for the parallel machine scheduling problem with job deteriorating effects

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

Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices

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

Parallel machine scheduling with completion-time-based criteria and sequence-dependent deterioration

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

The flexible job shop scheduling problem

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

A novel evolutionary algorithm for energy efficient scheduling in flexible job shops

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

Energy cost efficient scheduling in flexible job-shop manufacturing systems

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

Unrelated parallel machine scheduling with eligibility constraints and delivery times to minimize total weighted tardiness

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

Corrigendum to: “Solving the flexible job shop scheduling problem with sequence-dependent setup times”

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

Parallel machine scheduling with the total weighted delivery time performance measure in distributed manufacturing

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

Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization, Computers and Operations Research

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

Solving parallel machine problems with delivery times and tardiness objectives

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

A hybrid memetic algorithm for the parallel machine scheduling problem with job deteriorating effects

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

Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices

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

Parallel machine scheduling with completion-time-based criteria and sequence-dependent deterioration

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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