Yang Peng

Peng Yang is currently an associate professor in the Institution of Data and Information and Division of Logistics & Transportation, Shenzhen International Graduate School, Tsinghua University. He obtained his PhD degree in 2011 from the Industrial Engineering Department of Tsinghua University. He received both Master’s degree and Bachelor’s degree from the College of Mechanical Engineering, Chongqing University, in 2004 and 2007 respectively. His research interests include Robotic Warehousing System, Dynamic Order Picking Technologies, AI Technologies in the Warehouse and Logistics, Energy saving and carbon reduction in the Logistics Facilities.

2013 - Present, Lecturer, Associate professor, Shenzhen International Graduate School, Tsinghua University, China;

2011 - 2013, Postdoctor, Shenzhen International Graduate School, Tsinghua University, China;

Reviewer for: IISE Transactions, Transportation Research Part E, International Journal of Production Economics, International Journal of Production Research, Computers & Industrial Engineering, Computers & Operations Research, International Transactions in Operational Research, International Journal of Sustainable Transportation, Simulation Modelling Practice and Theory, Energy Policy

Invite speaker: 2020 IEEE International Conference on Industrial Engineering and Applications

Track chair: 2022 INFORMS Conference on Service Science

Session chair:

2024 6th International Conference on Management Science and Industrial Engineering

2022 IEEE International Conference on Industrial Engineering and Applications

2021 IEEE International Conference on Industrial Engineering and Applications

Technical committee/Invite speaker:

2020 IEEE International Conference on Industrial Engineering and Applications

Applied Statistics

Modeling and analysis on warehousing system

Modeling and analysis on warehousing system (MOOC) (This MOOC has been adopted by near 17 universities around the world.)

Robotic Warehousing System, Dynamic Order Picking Technologies, AI Technologies in the Warehouse and Logistics, Energy saving and carbon reduction in the Logistics Facilities, Charging infrastructure planning and optimization

•   National Natural Science Foundation of China (72372088): Data-driven modeling and optimization of human-robot collaborative order picking systems, 2024-2027, PI.

•   National Natural Science Foundation of China (71572090): Operation optimization in multi-shuttle automated storage and retrieval systems with the consideration of share storage and uncertainties, 2016-2019, PI. (Final assessment is Excellent)

•   National Natural Science Foundation of China (71202022): Optimization and simulation on key operational strategies in multi-shuttle Automated Storage and Retrieval Systems, 2013-2015, PI. (Final assessment is Excellent)

•   Shenzhen Science and Technology Program (GJHZ20220913143003006):Modelling and analysis on Overhead Compact Robotic Warehousing System based on Artificial  Intelligent and Queuing Network,2023-2025,PI.

•   Shenzhen Municipal Science and Technology Innovation Committee (JCYJ20190813172201684): Research on dynamic order picking technology based on flow picking, 2020-2023, PI.

•   Shenzhen Municipal Science and Technology Innovation Committee (JCYJ20180306174223343): Key technologies of energy management and optimization in smart warehousing equipment, 2019-2021, PI.

•   Shenzhen Municipal Science and Technology Innovation Committee (JCYJ20150331151358130): Research on application technology of low-carbon and compact warehousing system, 2015-2017, PI.

•   National Key R&D Program of China (2018YFE0105100), Research on optimization of charging infrastructure based on large-scale application of electric vehicles,2019-2021, Co-PI.

[1] Teh Khai Jen&, Rong Wang&, Peng Yang*.How to determine the I/O point policy in a robotic live-cube compact storage system. International Journal of Production Research,2024,DOI:10.1080/00207543.2024.2318021

[2] Jie Wang, Qiusen Wang, Peng Yang*, et al. Energy consumption analysis and optimization of cold stores considering differential electricity price. Energy and Buildings,2024, DOI:10.1016/j.enbuild.2024.114094.

[3] Rong Wang, Peng Yang*, Yeming Gong, Cheng Chen.Operational Policies and Performance Analysis for Overhead Robotic Compact Warehousing Systems with Bin Reshuffling. International Journal of Production Research,2023,DOI: 10.1080/00207543.2023.2289643

[4] Peng Yang*, Peiran Tao, Ping Xu, Yeming Gong. Bi-objective operation optimization in multi-shuttle automated storage and retrieval systems to reduce travel time and energy consumption. 2022, Engineering Optimization, 2022,DOI: 10.1080/0305215X.2022.2096881.

[5] Peng Yang*, Guang Jin and Guofang Duan, Modelling and analysis for multi-deep compact robotic mobile fulfilment system. International Journal of Production Research, 2022. 60(15): 4727-4742.

[6] Xingwei Chen, Peng Yang* and Zixin Shao. Simulation-based time-efficient and energy-efficient performance analysis of an overhead robotic compact storage and retrieval system. Simulation Modelling Practice and Theory,2022.DOI: 10.1016/j.simpat.2022.102560.

[7] Peng Yang, Zhijie Zhao and Zuo-Jun Max Shen. A flow picking system for order fulfillment in e-commerce warehouses. IISE Transactions, 2021. 53(5):  541-551.

[8] Wenpeng Li, Lixin Miao and Peng Yang*, SIMULATION ANALYSIS OF ROBOTIC MOBILE FULFILMENT SYSTEM BASED ON CELLULAR AUTOMATA. International Journal of Simulation Modelling, 2021. 20(2): 583-594.

[9] Peng Yang*, Zhijie Zhao and Huijie Guo (2020) Order batch picking optimization under different storage scenarios for e-commerce warehouses. Transportation Research Part E: Logistics and Transportation Review, DOI:10.1016/j.tre.2020.101897

[10] Peng Yang, Lixin Miao, Zhaojie Xue, Lei Qin. An integrated optimization of location assignment and storage/retrieval scheduling in multi-shuttle automated storage/retrieval systems. Journal of Intelligent Manufacturing,2015,26(6):1145-1159.

[11] Peng Yang, Lixin Miao, Zhaojie Xue, Lei Qin. Optimal storage rack design for a multi-deep compact AS/RS considering the acceleration/deceleration of the storage and retrieval machine. International Journal of Production Research, 2014. 53(3): p. 929-943.

[12] Peng Yang, Lixin Miao, Zhaojie Xue, Bin Ye. Variable neighborhood search heuristic for storage location assignment and storage/retrieval scheduling under shared storage in multi-shuttle automated storage/retrieval systems. Transportation Research Part E: Logistics and Transportation Review, 2015. 79:  164-177.

[13] Peng Yang, Kaidong Yang, Mingyao Qi, Lixin Miao, Bin Ye. Designing the optimal multi-deep AS/RS storage rack under full turnover-based storage policy based on non-approximate speed model of S/R machine. Transportation Research Part E: Logistics and Transportation Review, 2017.104: 113-130.

[14] Peng Yang, Yongfei Peng, Bin Ye, Lixin Miao. Integrated optimization of location assignment and sequencing in multi-shuttle automated storage and retrieval systems under modified 2n-command cycle pattern. Engineering Optimization 2017,49 (9): 1604-1620.

[15] Chun Cheng,Peng Yang, Mingyao Qi,Louis-Martin, Rousseau.Modeling a green inventory routing problem with a heterogeneous fleet. Transportation Research Part E: Logistics and Transportation Review, 2017.97: 97-112.

[16] Rui Chen, Xinglu Liu, Lixin Miao and Peng Yang (2020). Electric Vehicle Tour Planning Considering Range Anxiety. Sustainability. 2020, DOI: 10.3390/su12093685.

[17] Faping Wang, Jiali Yu, Peng Yang, Lixin Miao, Bin Ye. Analysis of Barriers to Wide Spread Adoption of Electric Vehicles in Shenzhen China. Sustainability.2017. DOI: 10.3390/su9040522.

[18] Zhaojie Xue, Canrong Zhang, Wei-Hua Lin, Lixin Miao, Peng Yang. A tabu search heuristic for the local container drayage problem under a new operation mode. Transportation Research Part E: Logistics and Transportation Review, 2014. 62:136-150.

•    2023 Second Prize of China Federation of Logistics and Purchasing Scientific and Technological Progress Award

•    2022 INFORMS Conference on Service Science-Best Student Paper Finalist

•    2021 Teaching Excellence Award of Tsinghua University Young Teachers (10 people in the whole school).

•    2021 Excellent Course of Tsinghua University: Modeling and analysis on warehousing system

•    2021 Excellent Master thesis Supervisor of Tsinghua University

•    2020 Excellent Master thesis Supervisor of Tsinghua University