POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Logistics Scheduling, Optimization algorithm design, Container Drayage Problem
youjintao@sribd.cn
EDUCATION BACKGROUND
Huawei Technology, Postdoctoral Fellow
National University of Singapore, Research Fellow
Tsinghua University, PhD
BIOGRAPHY
Dr. You Jintao is currently a research scientist at the Smart City, Transportation, and Logistics Big Data Laboratory of the Shenzhen Big Data Research Institute. Prior to joining the Shenzhen Big Data Research Institute, he worked as a researcher at the National University of Singapore and Huawei Technologies Limited. His research papers have been published in renowned logistics and transportation journals such as Transportation Research Part B and Part E. He has led one Zhixin Project and one Guangdong Provincial Youth Joint Project, and has participated in three National Natural Science Foundation projects, one Singapore A*STAR project, and one Singapore Maritime and Port Authority project. Among these, the cloud resource bandwidth scheduling project he participated in at Huawei Cloud Algorithm Innovation Lab was shortlisted for the INFORMS 2023 Franz Edelman Finalist Award.
ACADEMIC PUBLICATIONS
You, J., Miao, L., Zhang, C., & Xue, Z. (2020). A generic model for the local container drayage problem using the emerging truck platooning operation mode. Transportation Research Part B: Methodological, 133, 181-209.
You, J., Wang, Y., & Xue, Z. (2023). An exact algorithm for the multi-trip container drayage problem with truck platooning. Transportation Research Part E: Logistics and Transportation Review, 175, 103138.
Xue, Z., Lin, H., & You, J.* (2021). Local container drayage problem with truck platooning mode. Transportation Research Part E: Logistics and Transportation Review, 147, 102211.
You, J., Zhang, C., Xue, Z., Miao, L., & Ye, B. (2021). A bi-objective model for robust local container drayage problem. RAIRO-Operations Research, 55, S625-S646.
Yuan, X., Zhao, P., Hu, H., You, J., Yang, C., Peng, W., ... & Teo, K. M. (2024). Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System. INFORMS Journal on Applied Analytics, 54(1), 37-53.
OTHER OPTIONAL ENTRIES
INFORMS 2023 Franz Edelman Finalist Award
POSITION/TITLE
Research Scientist, Smart City/Transportation/Logistics Big Data Lab, SRIBD
RESEARCH FIELD
Operations Research of Supply Chain, data-driven operation management, cooperative and non-cooperative game analysis
yypeng@sribd.cn
PERSONAL WEBSITE
https://sites.google.com/view/yangyangpeng/home
EDUCATION BACKGROUND
Ph.D., Nanjing University
Master, Nanjing University of Finance and Economics
Bachelor, Nanjing University of Finance and Economics
BIOGRAPHY
Dr. Peng Yangyang (Young) currently serves as a research scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of the Shenzhen Research Institute of Big Data (SRIBD). Prior to joining the SRIBD, he worked as a postdoctoral researcher at The Chinese University of Hong Kong, Shenzhen. His research areas include supply chain optimization, data-driven operations management, cooperative and non-cooperative game analysis. Dr. Peng has published over ten papers in the SSCI/SCI/SCCSI journals, e.g., Annals of Operations Research, Journal of Industrial and Management Optimization, International Transactions in Operational Research, Chinese Journal of Management Science, Systems Engineering Theory and Practice, and Journal of Industrial Engineering and Engineering Management. He has also applied for seven invention patents and has been the principal investigator for one China Postdoctoral Science Foundation project and one Guangdong Province Joint Fund for Youth project. Furthermore, he has participated in several National Natural Science Foundation of China projects. Furthermore, he serves as a reviewer for journals such as Journal of Intelligent Manufacturing and has previously worked as a consultant on operations and supply chain management at Polyrock Operations Management Co., Ltd. In recent years, he has been involved in various big data supply chain operation projects for enterprises and institutions such as State Grid, Huaneng Group, Huawei, China General Nuclear Power Group, Guangzhou Railway Corporation, Whale Cloud Technology, Wuhan Tobacco Group, and Red Cross Blood Center, demonstrating substantial experience in industry research. Dr. Peng has received several honors and awards, including the First Prize in the National Graduate Mathematical Modeling Competition and the Ph.D. National Scholarship, among others.
ACADEMIC PUBLICATIONS
[1] Yangyang Peng,Xu Xiaolin, Xue Weili, Liang Xue. Mismatch Risk Allocation in a Coproduct Supply Chain, Annals of Operations Research, 2020, 291:707-730.
[2] Fuli Zhang, Yangyang Peng, Xiaolin Xu. Cooperative and Noncooperative R&D in Duopoly Manufacturers with a Common Supplier. Journal of Industrial and Management Optimization, 2023, 19(5): 3230-3254.
[3] Hong Fu, Shuo Xu, Lei Guan, Yangyang Peng, Lianmin Zhang. Downstream Firm's Equity Financing for Capacity Expansion in a Supply Chain. International Transactions in Operational Research, 2023.
[4] Tang Run, Li Qianqian, Peng Yangyang. Research on Clearing Strategies of Fresh Agricultural Products Dual Channel Market Considering Quality Loss [J]. Systems Engineering Theory and Practice, 2018, 38(10): 2542-2555.
[5] Tang Run, Peng Yangyang. Fresh food dual-channel supply chain coordination considering time and temperature factors [J]. Chinese Management Science, 2017, 25(10): 62-71.
[6] Tang Run, Peng Yangyang. Game Analysis of Dual-channel Coordination Evolution in Fresh Food Supply Chain Considering Channel Characteristics [J]. Statistics and Decision Making, 2018, 34(13): 56-60.
[7] Tang Run, Wang Zhengyang, Peng Yangyang, Zhang Lianmin. Research on traffic monetization model of self-media video platform [J]. Journal of Management Engineering, 2023.
POSITION/TITLE
Research Scientist, Smart City/Transportation/Logistics Big Data Lab, SRIBD
RESEARCH FIELD
Operations Research of Supply Chain, data-driven operation management, cooperative and non-cooperative game analysis
yypeng@sribd.cn
PERSONAL WEBSITE
https://sites.google.com/view/yangyangpeng/home
EDUCATION BACKGROUND
Ph.D., Nanjing University
Master, Nanjing University of Finance and Economics
Bachelor, Nanjing University of Finance and Economics
BIOGRAPHY
Dr. Peng Yangyang (Young) currently serves as a research scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of the Shenzhen Research Institute of Big Data (SRIBD). Prior to joining the SRIBD, he worked as a postdoctoral researcher at The Chinese University of Hong Kong, Shenzhen. His research areas include supply chain optimization, data-driven operations management, cooperative and non-cooperative game analysis. Dr. Peng has published over ten papers in the SSCI/SCI/SCCSI journals, e.g., Annals of Operations Research, Journal of Industrial and Management Optimization, International Transactions in Operational Research, Chinese Journal of Management Science, Systems Engineering Theory and Practice, and Journal of Industrial Engineering and Engineering Management. He has also applied for seven invention patents and has been the principal investigator for one China Postdoctoral Science Foundation project and one Guangdong Province Joint Fund for Youth project. Furthermore, he has participated in several National Natural Science Foundation of China projects. Furthermore, he serves as a reviewer for journals such as Journal of Intelligent Manufacturing and has previously worked as a consultant on operations and supply chain management at Polyrock Operations Management Co., Ltd. In recent years, he has been involved in various big data supply chain operation projects for enterprises and institutions such as State Grid, Huaneng Group, Huawei, China General Nuclear Power Group, Guangzhou Railway Corporation, Whale Cloud Technology, Wuhan Tobacco Group, and Red Cross Blood Center, demonstrating substantial experience in industry research. Dr. Peng has received several honors and awards, including the First Prize in the National Graduate Mathematical Modeling Competition and the Ph.D. National Scholarship, among others.
ACADEMIC PUBLICATIONS
[1] Yangyang Peng,Xu Xiaolin, Xue Weili, Liang Xue. Mismatch Risk Allocation in a Coproduct Supply Chain, Annals of Operations Research, 2020, 291:707-730.
[2] Fuli Zhang, Yangyang Peng, Xiaolin Xu. Cooperative and Noncooperative R&D in Duopoly Manufacturers with a Common Supplier. Journal of Industrial and Management Optimization, 2023, 19(5): 3230-3254.
[3] Hong Fu, Shuo Xu, Lei Guan, Yangyang Peng, Lianmin Zhang. Downstream Firm's Equity Financing for Capacity Expansion in a Supply Chain. International Transactions in Operational Research, 2023.
[4] Tang Run, Li Qianqian, Peng Yangyang. Research on Clearing Strategies of Fresh Agricultural Products Dual Channel Market Considering Quality Loss [J]. Systems Engineering Theory and Practice, 2018, 38(10): 2542-2555.
[5] Tang Run, Peng Yangyang. Fresh food dual-channel supply chain coordination considering time and temperature factors [J]. Chinese Management Science, 2017, 25(10): 62-71.
[6] Tang Run, Peng Yangyang. Game Analysis of Dual-channel Coordination Evolution in Fresh Food Supply Chain Considering Channel Characteristics [J]. Statistics and Decision Making, 2018, 34(13): 56-60.
[7] Tang Run, Wang Zhengyang, Peng Yangyang, Zhang Lianmin. Research on traffic monetization model of self-media video platform [J]. Journal of Management Engineering, 2023.
POSITION/TITLE
Research Scientist, Smart City/Transportation/Logistics Big Data Lab, SRIBD
RESEARCH FIELD
Operations Research of Supply Chain, data-driven operation management, cooperative and non-cooperative game analysis
yypeng@sribd.cn
PERSONAL WEBSITE
https://sites.google.com/view/yangyangpeng/home
EDUCATION BACKGROUND
Ph.D., Nanjing University
Master, Nanjing University of Finance and Economics
Bachelor, Nanjing University of Finance and Economics
BIOGRAPHY
Dr. Peng Yangyang (Young) currently serves as a research scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of the Shenzhen Research Institute of Big Data (SRIBD). Prior to joining the SRIBD, he worked as a postdoctoral researcher at The Chinese University of Hong Kong, Shenzhen. His research areas include supply chain optimization, data-driven operations management, cooperative and non-cooperative game analysis. Dr. Peng has published over ten papers in the SSCI/SCI/SCCSI journals, e.g., Annals of Operations Research, Journal of Industrial and Management Optimization, International Transactions in Operational Research, Chinese Journal of Management Science, Systems Engineering Theory and Practice, and Journal of Industrial Engineering and Engineering Management. He has also applied for seven invention patents and has been the principal investigator for one China Postdoctoral Science Foundation project and one Guangdong Province Joint Fund for Youth project. Furthermore, he has participated in several National Natural Science Foundation of China projects. Furthermore, he serves as a reviewer for journals such as Journal of Intelligent Manufacturing and has previously worked as a consultant on operations and supply chain management at Polyrock Operations Management Co., Ltd. In recent years, he has been involved in various big data supply chain operation projects for enterprises and institutions such as State Grid, Huaneng Group, Huawei, China General Nuclear Power Group, Guangzhou Railway Corporation, Whale Cloud Technology, Wuhan Tobacco Group, and Red Cross Blood Center, demonstrating substantial experience in industry research. Dr. Peng has received several honors and awards, including the First Prize in the National Graduate Mathematical Modeling Competition and the Ph.D. National Scholarship, among others.
ACADEMIC PUBLICATIONS
[1] Yangyang Peng,Xu Xiaolin, Xue Weili, Liang Xue. Mismatch Risk Allocation in a Coproduct Supply Chain, Annals of Operations Research, 2020, 291:707-730.
[2] Fuli Zhang, Yangyang Peng, Xiaolin Xu. Cooperative and Noncooperative R&D in Duopoly Manufacturers with a Common Supplier. Journal of Industrial and Management Optimization, 2023, 19(5): 3230-3254.
[3] Hong Fu, Shuo Xu, Lei Guan, Yangyang Peng, Lianmin Zhang. Downstream Firm's Equity Financing for Capacity Expansion in a Supply Chain. International Transactions in Operational Research, 2023.
[4] Tang Run, Li Qianqian, Peng Yangyang. Research on Clearing Strategies of Fresh Agricultural Products Dual Channel Market Considering Quality Loss [J]. Systems Engineering Theory and Practice, 2018, 38(10): 2542-2555.
[5] Tang Run, Peng Yangyang. Fresh food dual-channel supply chain coordination considering time and temperature factors [J]. Chinese Management Science, 2017, 25(10): 62-71.
[6] Tang Run, Peng Yangyang. Game Analysis of Dual-channel Coordination Evolution in Fresh Food Supply Chain Considering Channel Characteristics [J]. Statistics and Decision Making, 2018, 34(13): 56-60.
[7] Tang Run, Wang Zhengyang, Peng Yangyang, Zhang Lianmin. Research on traffic monetization model of self-media video platform [J]. Journal of Management Engineering, 2023.
POSITION/TITLE
Research Scientist, Smart City/Transportation/Logistics Big Data Lab, SRIBD
RESEARCH FIELD
Operations Research of Supply Chain, data-driven operation management, cooperative and non-cooperative game analysis
yypeng@sribd.cn
PERSONAL WEBSITE
https://sites.google.com/view/yangyangpeng/home
EDUCATION BACKGROUND
Ph.D., Nanjing University
Master, Nanjing University of Finance and Economics
Bachelor, Nanjing University of Finance and Economics
BIOGRAPHY
Dr. Peng Yangyang (Young) currently serves as a research scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of the Shenzhen Research Institute of Big Data (SRIBD). Prior to joining the SRIBD, he worked as a postdoctoral researcher at The Chinese University of Hong Kong, Shenzhen. His research areas include supply chain optimization, data-driven operations management, cooperative and non-cooperative game analysis. Dr. Peng has published over ten papers in the SSCI/SCI/SCCSI journals, e.g., Annals of Operations Research, Journal of Industrial and Management Optimization, International Transactions in Operational Research, Chinese Journal of Management Science, Systems Engineering Theory and Practice, and Journal of Industrial Engineering and Engineering Management. He has also applied for seven invention patents and has been the principal investigator for one China Postdoctoral Science Foundation project and one Guangdong Province Joint Fund for Youth project. Furthermore, he has participated in several National Natural Science Foundation of China projects. Furthermore, he serves as a reviewer for journals such as Journal of Intelligent Manufacturing and has previously worked as a consultant on operations and supply chain management at Polyrock Operations Management Co., Ltd. In recent years, he has been involved in various big data supply chain operation projects for enterprises and institutions such as State Grid, Huaneng Group, Huawei, China General Nuclear Power Group, Guangzhou Railway Corporation, Whale Cloud Technology, Wuhan Tobacco Group, and Red Cross Blood Center, demonstrating substantial experience in industry research. Dr. Peng has received several honors and awards, including the First Prize in the National Graduate Mathematical Modeling Competition and the Ph.D. National Scholarship, among others.
ACADEMIC PUBLICATIONS
[1] Yangyang Peng,Xu Xiaolin, Xue Weili, Liang Xue. Mismatch Risk Allocation in a Coproduct Supply Chain, Annals of Operations Research, 2020, 291:707-730.
[2] Fuli Zhang, Yangyang Peng, Xiaolin Xu. Cooperative and Noncooperative R&D in Duopoly Manufacturers with a Common Supplier. Journal of Industrial and Management Optimization, 2023, 19(5): 3230-3254.
[3] Hong Fu, Shuo Xu, Lei Guan, Yangyang Peng, Lianmin Zhang. Downstream Firm's Equity Financing for Capacity Expansion in a Supply Chain. International Transactions in Operational Research, 2023.
[4] Tang Run, Li Qianqian, Peng Yangyang. Research on Clearing Strategies of Fresh Agricultural Products Dual Channel Market Considering Quality Loss [J]. Systems Engineering Theory and Practice, 2018, 38(10): 2542-2555.
[5] Tang Run, Peng Yangyang. Fresh food dual-channel supply chain coordination considering time and temperature factors [J]. Chinese Management Science, 2017, 25(10): 62-71.
[6] Tang Run, Peng Yangyang. Game Analysis of Dual-channel Coordination Evolution in Fresh Food Supply Chain Considering Channel Characteristics [J]. Statistics and Decision Making, 2018, 34(13): 56-60.
[7] Tang Run, Wang Zhengyang, Peng Yangyang, Zhang Lianmin. Research on traffic monetization model of self-media video platform [J]. Journal of Management Engineering, 2023.
TITLE/POSITION
Research Scientist
RESEARCH FIELD
Operations Research and Optimization, Smart Logistics, Vehicle Routing, and Scheduling
heyandong@sribd.cn
EDUCATION BACKGROUND
Tsinghua University - Postdoctoral Fellow
Chongqing University - Doctor of Management at Eindhoven University of Technology
PERSONAL WEBSITE
https://scholar.google.com/citations?user=ySC5mKYAAAAJ&hl=zh-CN&oi=ao
BIOGRAPHY
Yandong He is currently a Research Scientist at the Smart City/Transportation/Logistics Big Data Laboratory of the SRIBD. His research areas primarily include the application of operations research and optimization algorithms, as well as machine learning algorithms, in system analysis, modeling, and optimization.
He has published academic papers in journals such as the Transportation Research Part series, CAIE, IJPE, JORS, and the Chinese Journal of Management Science. In recent years, he has served as the principal investigator for various research projects, including one from the Chinese Postdoctoral Science Foundation, one from the China Scholarship Council, one from the Guangdong Science and Technology Plan, and one from the Guangdong Basic and Applied Basic Research Foundation. He has also been a key member in a national science and technology support program and has been involved in multiple Chongqing Science and Technology Research Program projects.
ACADEMIC PUBLICATIONS
Selected Journal Publication
[1] Zhou, F., He, Y., Ma, P., Lim, M. K., & Pratap, S. (2022). Capacitated disassembly scheduling
with random demand and operation time. Journal of the Operational Research Society, 73(6),
1362-1378.
[2] Zhou, F., He, Y., Ma, P., & Mahto, R. V. (2021). Knowledge management practice of medical
cloud logistics industry: transportation resource semantic discovery based on ontology
modelling. Journal of Intellectual Capital, 22(2), 360-383.
[3] He, Y., Qi, M., Zhou, F., & Su, J. (2020). An effective metaheuristic for the last mile delivery
with roaming delivery locations and stochastic travel times. Computers & Industrial
Engineering, 145, 106513.
[4] He, Y., Zhou, F., Qi, M., & Wang, X. (2020). Joint distribution: service paradigm, key
technologies and its application in the context of Chinese express industry. International
Journal of Logistics Research and Applications, 23(3), 211-227.
[5] He, Y., Wang, X., Lin, Y., Zhou, F., & Zhou, L. (2017). Sustainable decision making for joint
distribution center location choice. Transportation Research Part D: Transport and
Environment, 55, 202-216.
[6] 何彦东, 王旭, 周福礼, 周林. 基于双边努力因素的网购供应链协调研究. 中国管理科学,
2019, 27(02): 83-92.
TITLE/POSITION
Research Scientist
RESEARCH FIELD
Operations Research and Optimization, Smart Logistics, Vehicle Routing, and Scheduling
heyandong@sribd.cn
EDUCATION BACKGROUND
Tsinghua University - Postdoctoral Fellow
Chongqing University - Doctor of Management at Eindhoven University of Technology
PERSONAL WEBSITE
https://scholar.google.com/citations?user=ySC5mKYAAAAJ&hl=zh-CN&oi=ao
BIOGRAPHY
Yandong He is currently a Research Scientist at the Smart City/Transportation/Logistics Big Data Laboratory of the SRIBD. His research areas primarily include the application of operations research and optimization algorithms, as well as machine learning algorithms, in system analysis, modeling, and optimization.
He has published academic papers in journals such as the Transportation Research Part series, CAIE, IJPE, JORS, and the Chinese Journal of Management Science. In recent years, he has served as the principal investigator for various research projects, including one from the Chinese Postdoctoral Science Foundation, one from the China Scholarship Council, one from the Guangdong Science and Technology Plan, and one from the Guangdong Basic and Applied Basic Research Foundation. He has also been a key member in a national science and technology support program and has been involved in multiple Chongqing Science and Technology Research Program projects.
ACADEMIC PUBLICATIONS
Selected Journal Publication
[1] Zhou, F., He, Y., Ma, P., Lim, M. K., & Pratap, S. (2022). Capacitated disassembly scheduling
with random demand and operation time. Journal of the Operational Research Society, 73(6),
1362-1378.
[2] Zhou, F., He, Y., Ma, P., & Mahto, R. V. (2021). Knowledge management practice of medical
cloud logistics industry: transportation resource semantic discovery based on ontology
modelling. Journal of Intellectual Capital, 22(2), 360-383.
[3] He, Y., Qi, M., Zhou, F., & Su, J. (2020). An effective metaheuristic for the last mile delivery
with roaming delivery locations and stochastic travel times. Computers & Industrial
Engineering, 145, 106513.
[4] He, Y., Zhou, F., Qi, M., & Wang, X. (2020). Joint distribution: service paradigm, key
technologies and its application in the context of Chinese express industry. International
Journal of Logistics Research and Applications, 23(3), 211-227.
[5] He, Y., Wang, X., Lin, Y., Zhou, F., & Zhou, L. (2017). Sustainable decision making for joint
distribution center location choice. Transportation Research Part D: Transport and
Environment, 55, 202-216.
[6] 何彦东, 王旭, 周福礼, 周林. 基于双边努力因素的网购供应链协调研究. 中国管理科学,
2019, 27(02): 83-92.
TITLE/POSITION
Research Scientist
RESEARCH FIELD
Operations Research and Optimization, Smart Logistics, Vehicle Routing, and Scheduling
heyandong@sribd.cn
EDUCATION BACKGROUND
Tsinghua University - Postdoctoral Fellow
Chongqing University - Doctor of Management at Eindhoven University of Technology
PERSONAL WEBSITE
https://scholar.google.com/citations?user=ySC5mKYAAAAJ&hl=zh-CN&oi=ao
BIOGRAPHY
Yandong He is currently a Research Scientist at the Smart City/Transportation/Logistics Big Data Laboratory of the SRIBD. His research areas primarily include the application of operations research and optimization algorithms, as well as machine learning algorithms, in system analysis, modeling, and optimization.
He has published academic papers in journals such as the Transportation Research Part series, CAIE, IJPE, JORS, and the Chinese Journal of Management Science. In recent years, he has served as the principal investigator for various research projects, including one from the Chinese Postdoctoral Science Foundation, one from the China Scholarship Council, one from the Guangdong Science and Technology Plan, and one from the Guangdong Basic and Applied Basic Research Foundation. He has also been a key member in a national science and technology support program and has been involved in multiple Chongqing Science and Technology Research Program projects.
ACADEMIC PUBLICATIONS
Selected Journal Publication
[1] Zhou, F., He, Y., Ma, P., Lim, M. K., & Pratap, S. (2022). Capacitated disassembly scheduling
with random demand and operation time. Journal of the Operational Research Society, 73(6),
1362-1378.
[2] Zhou, F., He, Y., Ma, P., & Mahto, R. V. (2021). Knowledge management practice of medical
cloud logistics industry: transportation resource semantic discovery based on ontology
modelling. Journal of Intellectual Capital, 22(2), 360-383.
[3] He, Y., Qi, M., Zhou, F., & Su, J. (2020). An effective metaheuristic for the last mile delivery
with roaming delivery locations and stochastic travel times. Computers & Industrial
Engineering, 145, 106513.
[4] He, Y., Zhou, F., Qi, M., & Wang, X. (2020). Joint distribution: service paradigm, key
technologies and its application in the context of Chinese express industry. International
Journal of Logistics Research and Applications, 23(3), 211-227.
[5] He, Y., Wang, X., Lin, Y., Zhou, F., & Zhou, L. (2017). Sustainable decision making for joint
distribution center location choice. Transportation Research Part D: Transport and
Environment, 55, 202-216.
[6] 何彦东, 王旭, 周福礼, 周林. 基于双边努力因素的网购供应链协调研究. 中国管理科学,
2019, 27(02): 83-92.
TITLE/POSITION
Research Scientist
RESEARCH FIELD
Operations Research and Optimization, Smart Logistics, Vehicle Routing, and Scheduling
heyandong@sribd.cn
EDUCATION BACKGROUND
Tsinghua University - Postdoctoral Fellow
Chongqing University - Doctor of Management at Eindhoven University of Technology
PERSONAL WEBSITE
https://scholar.google.com/citations?user=ySC5mKYAAAAJ&hl=zh-CN&oi=ao
BIOGRAPHY
Yandong He is currently a Research Scientist at the Smart City/Transportation/Logistics Big Data Laboratory of the SRIBD. His research areas primarily include the application of operations research and optimization algorithms, as well as machine learning algorithms, in system analysis, modeling, and optimization.
He has published academic papers in journals such as the Transportation Research Part series, CAIE, IJPE, JORS, and the Chinese Journal of Management Science. In recent years, he has served as the principal investigator for various research projects, including one from the Chinese Postdoctoral Science Foundation, one from the China Scholarship Council, one from the Guangdong Science and Technology Plan, and one from the Guangdong Basic and Applied Basic Research Foundation. He has also been a key member in a national science and technology support program and has been involved in multiple Chongqing Science and Technology Research Program projects.
ACADEMIC PUBLICATIONS
Selected Journal Publication
[1] Zhou, F., He, Y., Ma, P., Lim, M. K., & Pratap, S. (2022). Capacitated disassembly scheduling
with random demand and operation time. Journal of the Operational Research Society, 73(6),
1362-1378.
[2] Zhou, F., He, Y., Ma, P., & Mahto, R. V. (2021). Knowledge management practice of medical
cloud logistics industry: transportation resource semantic discovery based on ontology
modelling. Journal of Intellectual Capital, 22(2), 360-383.
[3] He, Y., Qi, M., Zhou, F., & Su, J. (2020). An effective metaheuristic for the last mile delivery
with roaming delivery locations and stochastic travel times. Computers & Industrial
Engineering, 145, 106513.
[4] He, Y., Zhou, F., Qi, M., & Wang, X. (2020). Joint distribution: service paradigm, key
technologies and its application in the context of Chinese express industry. International
Journal of Logistics Research and Applications, 23(3), 211-227.
[5] He, Y., Wang, X., Lin, Y., Zhou, F., & Zhou, L. (2017). Sustainable decision making for joint
distribution center location choice. Transportation Research Part D: Transport and
Environment, 55, 202-216.
[6] 何彦东, 王旭, 周福礼, 周林. 基于双边努力因素的网购供应链协调研究. 中国管理科学,
2019, 27(02): 83-92.
POSITION/TITLE
Engineer, Smart City/Transportation/Logistics Big Data Lab, SRIBD
wanhanxue@sribd.cn
EDUCATION BACKGROUND
Master of Science, EDHEC Business School
Bachelor of Arts, Guangdong University of Foreign Studies
BIOGRAPHY
WAN Hanxue received the Master's degree in Data Analytics and Artificial Intelligence from EDHEC Business School in 2022, and joined Shenzhen Research Institute of Big Data as an engineer in November 2023, where she was responsible for the project implementation, team management, and participated in the projects related to the supply chain operation of enterprises and institutions, such as CGN.
POSITION/TITLE
Engineer, Smart City/Transportation/Logistics Big Data Lab, SRIBD
wanhanxue@sribd.cn
EDUCATION BACKGROUND
Master of Science, EDHEC Business School
Bachelor of Arts, Guangdong University of Foreign Studies
BIOGRAPHY
WAN Hanxue received the Master's degree in Data Analytics and Artificial Intelligence from EDHEC Business School in 2022, and joined Shenzhen Research Institute of Big Data as an engineer in November 2023, where she was responsible for the project implementation, team management, and participated in the projects related to the supply chain operation of enterprises and institutions, such as CGN.
POSITION/TITLE
Engineer, Smart City/Transportation/Logistics Big Data Lab, SRIBD
wanhanxue@sribd.cn
EDUCATION BACKGROUND
Master of Science, EDHEC Business School
Bachelor of Arts, Guangdong University of Foreign Studies
BIOGRAPHY
WAN Hanxue received the Master's degree in Data Analytics and Artificial Intelligence from EDHEC Business School in 2022, and joined Shenzhen Research Institute of Big Data as an engineer in November 2023, where she was responsible for the project implementation, team management, and participated in the projects related to the supply chain operation of enterprises and institutions, such as CGN.
POSITION/TITLE
Engineer, Smart City/Transportation/Logistics Big Data Lab, SRIBD
wanhanxue@sribd.cn
EDUCATION BACKGROUND
Master of Science, EDHEC Business School
Bachelor of Arts, Guangdong University of Foreign Studies
BIOGRAPHY
WAN Hanxue received the Master's degree in Data Analytics and Artificial Intelligence from EDHEC Business School in 2022, and joined Shenzhen Research Institute of Big Data as an engineer in November 2023, where she was responsible for the project implementation, team management, and participated in the projects related to the supply chain operation of enterprises and institutions, such as CGN.
