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Su Kaikai

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Su Kaikai

Lecturer

sukaikai@tust.edu.cn

Education:

Doctor of Engineering, majoring in Mechanical Manufacturing and Automation at Beijing Jiaotong University.

Working Experience:

  1. From July 2017 to June 2022, Department of Logistics Engineering, Tianjin University of Science and Technology;
  2. From July 2022 to present, Department of Logistics Management, Tianjin University of Science and Technology.

Research Interests:

Supply Chain Management, Logistics Technology and Equipment, Planning and Design of Logistics Distribution Centers, Internet of Things, Networked Manufacturing, Multi-Objective Optimization

Academic & Social Service:

  1. Tianjin Enterprise Science and Technology Commissioner in 2018 and 2022;
  2. Vice President of Science and Technology of Jiangsu Province in 2022;
  3. Member of China Logistics Society

Teaching:

  1. Process Design of Distribution Center;
  2. The Curriculum Design of Process Design of Distribution Center;
  3. Intelligent Logistics Equipment;
  4. Technology and Application of Internet of Things.

Research Projects:

  1. National High tech Research and Development Program (863 Program): Research and development of complex product analysis and simulation software based on HLA technology system, project number: 2013AA041302.
  2. National Natural Science Foundation of China: Research on the Integration and Coordination Management of Dynamic Service Resources Based on SOOA in Cloud Manufacturing Environment, Project Number: 51175033.
  3. National Natural Science Foundation of China: Research on the Mechanism and Trajectory Planning of High Efficiency Precision Grinding of Nickel based High Temperature Alloy Blade Curved Surface Sand Belt, Project Number: 51505025.
  4. Major R&D Project of the Ministry of Science and Technology: Research and Development of Non artificial Real time Monitoring and Sorting Technology and Equipment for Harmful Biological Toxins in Port Food, Project Number: 2018YFC16000606.
  5. Tianjin Technology Innovation Guidance Special Project: Development of Lean Production Optimization Control and Decision Support System for Manufacturing Enterprises, Project Number: 20YDTPJC01050.
  6. Enterprise commissioned project: Dayu Water saving Supply Chain System Planning and Design, 100000 yuan.
  7. Enterprise commissioned project: Research on data-driven dynamic optimization methods for cigarette quality inspection and control, 190000 yuan.

Key Publications:

[1] Su Kaikai, Xu Wensheng, Li Jianyong. Manufacturing resource allocation method based on bi-level programming in cloud manufacturing [J]. Computer Integrated Manufacturing Systems, 2015, 217:1941-1952.

[2] Su Kaikai, Xu Wensheng, Li Jianyong. Manufacturing resource allocation method based on non-cooperative game in cloud manufacturing [J]. Computer Integrated Manufacturing Systems, 2015, 218:2228-2239.

[3] K. K.Su, W.S.Xu, J.Y.Li. Research on mass manufacturing resource sensory data management based on Hadoop [J]. Key Engineering Materials, 2016, 693: 1880-1885.

[4] Su Kaikai, Liu Jieping, Wang Dongxing, et al. R Research and development of new type wave generator [J]. Mechanical & Electrical Engineering Magazine, 2011, 28 (12): 1491-1494.

[5] Long Long Song,De Gang Song,Wei Dong Cheng, et al. Approach to extraction of incipient fault features on unstable rotating rolling bearings based on time-frequency order tracking and SPWVD [J]. Advanced Materials Research.2013, 819:266-270.

[6] Wang Junpeng, Su Kaikai, Guo Manman, et al. Performance evaluation and optimization of diversified warehouses based on game combination weighting [J]. Logistics & Material Handling, 2022, 27(7): 148-153.

[7] Li Kangwei, Su Kaikai, Guo Manman, et al. Research on Optimal Allocation Method of Transportation Resources Based on Extension Clustering under Cloud Logistics Mode [J]. Logistics Engineering and Management, 2022, 44(8): 10-14.

[8] Yuan Hao, Su Kaikai, Teng Zehui, et al. Research on Distribution Center Site Selection and Path Optimization Method Based on Bilevel Programming [J]. Logistics Engineering and Management,2023, 45(10):38-42.

[9] Zhang Hongtao, Su Kaikai, He Zhen, et al. Research on AGV Path Planning for Goods-to-Person Picking in Distribution Center Based on A*Algorithm [J]. Journal of Tianjin Sino-German University of Applied Sciences, 2023, 6:59-63.

Honors & Awards:

  1. 2019-2020 excellent undergraduate supervisor and gold medal supervisor of the School of Economics and Management, Tianjin University of Science and Technology;
  2. 2020-2021 excellent undergraduate supervisor and gold medal supervisor of the School of Economics and Management, Tianjin University of Science and Technology.