1. 中文
  • Wang Lin

    Professor
  • Subordinate unit

    Department of Management Science
  • Research Interests

    Data-driven optimization and management decision, Big data business analysis and artificial intelligence, Smart logistics and supply chain management (Inventory control, Purchasing and supply management, Supply chain collaboration, etc.)
  • Telephone

    E-mail

    wanglin@hust.edu.cn

Education

Ph.D. (Majored in Management Science and Engineering), Huazhong University of Science and Technology, Mar. 2001-Dec. 2003.

M.E. (Majored in Technology Economics and Management), Wuhan University of Technology, Sep. 1998-Mar. 2001.

B.E. (Majored in Automation), Wuhan University of Technology, Sep. 1992- Jul. 1996.

Overseas Visiting and Training

Visiting Scholar, University of Cambridge, UK, Aug. 2013-Sep. 2013.

Visiting Scholar, University of Toronto, Canada, Sep. 2010-Sep. 2011.

Courses Taught (2019-2023)

Undergraduate: Purchasing and Supply Management, Logistics Information Technology and Applications.

Graduate: Purchasing and Supply Management.

Work Experiences

Nov. 2013 - Present: Professor, Department of Management Science, Huazhong University of Science and Technology (HUST)

Apr. 2004 - Oct. 2013: Assistant Prof., Associate Professor, Department of Logistics and Operations Management, Huazhong University of Science and Technology (HUST)

Jul. 1996 - Aug.1998, Assistant Engineer, XiangFan locomotive Co. Ltd.

Consulting (Training) Activities

SINOPEC Beijing Yanshan Company, DaYa Bay Nuclear Power Operations and Management Co., Ltd, China Yangtze Power Co. Ltd., etc.

Research Interests

Data-driven optimization and management decision, Big data business analysis and artificial intelligence, Smart logistics and supply chain management (Inventory control, Purchasing and supply management, Supply chain collaboration, etc.)

Representative Research Projects

1. Autonomous Obstacle Avoidance and Path Planning for Transportation Equipment in Intelligent Warehouses (National Key Research and Development Program Project, Ministry of Science and Technology of China, 2023YFF0905604), Principal Investigator

2. Logistics System Design and Operation Mode for the National Strategic Reserve of Living Materials (Key Project of National Social Science Foundation of China, 20&ZD126), Principal Investigator

3. Demand Forecasting using Improved FOA-ESN and Internet Big Data: Taking E-commerce and Tourism Industries as Examples (National Natural Science Foundation of China, 71771095), Principal Investigator

4. Modeling, Behavior Analysis, and Optimization Design of Organizational System Architecture Under Internet of Things Environment: Taking E-commerce Logistics as an Example (Subproject of key Project of National Natural Science Foundation of China,71531009), Principal Investigator

5. Collaborative Optimization of Joint Replenishment and Distribution Scheduling of rarely-used Spare Parts using Quantum Evolution Algorithm (National Natural Science Foundation of China,71371080), Principal Investigator

6. Joint Replenishment Models for rarely-used Spare Parts using Differential Evolution under Fuzzy Environment (National Natural Science Foundation of China, 70801030) , Principal Investigator

Representative Research Papers

1. More than 70 papers indexed by SCI/SSCI were published as first/corresponding author (including 3 ESI Hot papers, 25 ESI highly cited papers). Details can be found at:

2. https://www.researchgate.net/profile/Lin_Wang27/publications; https://publons.com/researcher/1296667/lin-wang/publications/ .

3. Wang Lin, He Jing, et al. A novel differential evolution algorithm for joint replenishment problem under interdependence and its application. International Journal of Production Economics, 2012, 135(1):190–198 (SSCI /SCI)

4. Wang Lin, Dun Cai-xia, Bi Wen-jie, et al. An effective and efficient differential evolution algorithm for the integrated stochastic joint replenishment and delivery model. Knowledge-Based Systems, 2012, 36:104–114 (SCI)

5. Wang Lin, Liu Rui, Liu Shan. Variable neighborhood search incorporating a new bounding procedure for joint replenishment and delivery problem. Journal of the Operational Research Society, 2018, 69(2): 201 –209 (SSCI)

6. Wang Lin, Peng Lu, Wang Sirui, *Liu Shan. Advanced backtracking search optimization algorithm for a new joint replenishment problem under trade credits with grouping constraint. Applied Soft Computing, 2020, 86:105953 (SSCI/SCI)

7. Wang Lin, Wang Sirui, Gong Yeming, *Peng Lu. Optimizing a multi-echelon location-inventory problem with joint replenishment: A Lipschitz ϵ-optimal approach using Lagrangian relaxation. Computers and Operations Research, 2023,151: 106128 (SCI)

8. Liu Shan, *Wang Lin (Corr. Author), Huang Wei (Wayne). Effects of process and outcome controls on business process outsourcing performance: Moderating roles of vendor and client capability risks. European Journal of Operational Research, 2017, 260(3):1115–1128 (SSCI/SCI)

9. Li Shaowen, Chen Tao, *Wang Lin(Corr. Author), Ming Chenghan. Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index. Tourism Management, 2018, 68: 116–126 (SSCI)

10. Wang Lin, Hu Huanling, et al. Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm. Energy, 2018, 153: 801–815 (SSCI/SCI)

11. Peng Lu, Liu Shan, Liu Rui, *Wang Lin(Corr. Author). Effective Long short-term memory with differential evolution algorithm for electricity price prediction. Energy, 2018, 162: 1301–1314 (SSCI/SCI)

12. Wu Binrong, Wang Lin, Wang Sirui, et al. Frecasting the U.S. oil markets based on social media information during the COVID-19 pandemic. Energy, 2021, 26: 120403 (SSCI/SCI)

13. Lv Sheng-Xiang, Peng Lu, Hu Huanling, *Wang Lin. Effective machine learning model combination based on selective ensemble strategy for time series forecasting. Information Sciences, 2022, 612C: 994–1023 (SCI)

14. Peng Lu, *Wang Lin, Xia De, Gao Qinglu. Effective energy consumption forecasting using empirical wavelet transform and long short-term memory. Energy, 2022, 238: 121756 (SSCI/SCI)

Representative Monographs/Textbooks/Cases

1. Wang Lin, Wang Zhigang, et al. Echo State Network Time Series Classification and Prediction: Theory, Models, and Applications. Beijing: China Science Publishing, 2023

2. Wang Lin, Liu Rui. Multi product Joint Replenishment and Distribution Scheduling Problems: Theory, Model, Algorithm, and Simulation. Beijing: China Science Publishing, 2018

3. Wang Lin. The Inventory Models of Rarely-used Spare Parts for Continuous Production. Wuhan: Hubei People Publishing House, 2006

4. Lu Shaoping, Wang Lin. Logistics Information Technologies and Applications. Wuhan: Huazhong University of Science and Technology Press, 2009

Representative Grants and Awards

1. Second Prize for Shaanxi Province Science and Technology Award (2/6), 2022, Shaanxi Provincial People's Government

2. Second Prize for the Twelfth Outstanding Achievements in Social Sciences in Hubei Province (1/2), 2020, Hubei Provincial People's Government

3. Third Prize for Hubei Province Natural Sciences Award (1/3), 2020, Hubei Provincial People's Government

4. Second Prize for the Fourteenth Outstanding Academic Papers in Natural Sciences in Shaanxi Province (2/2), 2020, Shaanxi Provincial People's Government

5. Second Prize for the Fourteenth Outstanding Achievements in Philosophy and Social Sciences in Shaanxi Province (2/3), 2019, Shaanxi Provincial People's Government