中文 | Nankai University

Ping CHEN

Ping CHEN
Lecturer
Management Science & Engineering
Email:chenpingteda@nankai.edu.cn
Tel:
中文
  • Biography

  • Research & Achievement

  • Projects

  • Teaching

Research Areas

Logistics and Supply Chain Management, Vehicle Routing Problem, Reinforcement 


Education

2003.9-2009.6, Beijing JiaotongUniversity, PhD, Computer Application Technology

1999.9-2003.7, Beijing JiaotongUniversity, BSc,Computer and Science Technology

Professional Training Experience

2015.7.1-2015.7.4 InnovationPedagogies and Curriculum Design Skills Development Workshops,  Higher Education Academy and NankaiUniversity.




Professional Experience

2015.7-Present, Teaching in Business School, Nankai University

2009.7-2015.6, Teaching in TEDA College, Nankai University

2013.12-2014.12, Visiting Scholar in Robert H. Smith School of Business,

University of Maryland.


Awards

[1]     2014, Awarded to Nankai University Humanities and Social Sciences Outstanding Achievement.

 



Peer-Reviewed Journal Papers

2016

[1]    Ping Chen, Bruce Golden, Wang. X., Edward Wasil. Novel Approach to Solve the Split Delivery Vehicle Routing Problem. International Transactions in Operational Research.  2017. 24(1-2):27-41. DOI: 10.1111/itor.12250.

 

2015

[1]    Xingye Dong, Maciek Nowak, Ping Chen, Youfang Lin. Self-adaptive perturbation and multi-neighborhood search for iterated local search on the permutation flow shop problem. Computers & Industrial Engineering, 2015, No.87:176-185.

 

2013

[1]    Xingye Dong, Ping Chen, Houkuan Huang and Maciek Nowak. A multi-restart iterated local search algorithm for the permutation flow shop problem minimizing total flow time. Computers & Operations Research, 2013, Vol.40, No2:627-632.

 

2012

[1]    Ping Chen, Xingye Dong, Yanchao Niu. An effective memetic algorithm for the cumulative capacitated vehicle routing problem. In: Technology for Education and Learning. Advances in Intelligent and Soft Computing, 2012, Vol.136:575-581.

 

2011

[1]    Ping Chen, Houkuan Huang, Xingye Dong. Variable Neighborhood Search Algorithm for Fleet Size and Mixed Vehicle Routing Problem. Journal of System Simulation, 2011, Vol.23 No9:1945-1950. (Published in Chinese)

 

2010

[1]    Ping Chen, Houkuan Huang, Xingye Dong. Iterated variable neighborhood descent algorithm for the capacitated vehicle routing problem. Expert Systems with Applications, 2010, Vol.37, No2:1620-1627.

 

Conference Presentations

[1]  Oliver Lum, Ping Chen, Xingyin Wang, Bruce Golden, Edward Wasil. A Heuristic Approach for the Swap-body Vehicle outing Problem [C] // 14th INFORMS Computing Society Conference Richmond, 2015.1.11-13:172-187, Virginia, USA.

[2]    Ping ChenMeng Xu, Junyuan Tan, Shu Zhang. The ElectricVehicle Routing Problem with Time Windows and Mobile Recharging.2019Multidisciplinary International Scheduling Conference: Theory & Applications.Ningbo: Ningbo Nottingham University, 2019.12.12-12.15.
[3] 
Chen P, Song S. Vehicle rebalancing scheduling for shared electricvehicles based on allowing "overparking" Twenty-first AnnualConference on Management Science in China. Shanghai: Shanghai University,2019.11.15-11.18.
[4] 
 Chen P, Yu Xinyao, Li G. Multi-drive based vehicle path planningproblem for electric logistics vehicles with time windows. The 20th AnnualConference of the Chinese Society of Systems Engineering. Chengdu: SouthwestUniversity of Finance and Economics, 2018.10.26-10.28.
[5] 
Chen P,Dong WZ,Yu XINYAO. Research on path optimization problem ofnew energy mobile charging vehicles. 2018 International Conference on SmartTransportation and Logistics in the Era of Big Data. Jinan: Shandong NormalUniversity, 2018.07.13-7.15.
[6] 
Huaying Ding, Xinyao Yu, Zijian Min, Ping Chen*. A Heuristic Approachfor Solving the Multi-trip Electric and Conventional Vehicle RoutingProblem.7th IEEE International Conference on Logistics, Informatics and ServiceSciences (LISS 2017), Beijing: Beijing Jiaotong University, 2017.7.24-7.27.

Books and Chapters

[1]    National Development and Reform Commission, Modern logistics research center of Nankai University. Report of China Logistics Development, Beijing: Peking University Publishing House, 2016. (Participate in Writing)

[2]    National Development and Reform Commission, Modern logistics research center of Nankai University. Report of China Logistics Development, Beijing: Peking University Publishing House, 2015. (Participate in Writing)

[3]    National Development and Reform Commission, Modern logistics research center of Nankai University. Report of China Logistics Development, Beijing: Peking University Publishing House, 2012. (Chapter 08, Participate in Writing)

[4]    Liu, B., Lee, S., Wang, L.et al. Contemporary Logistics in China: Transformation and Revitalization. Berlin: Springer-Verlag Berlin,2012. (Chapter 4 China’s Logistics Development in Certain Key Regions. (Participate in Writing)

[5]    National Development and Reform Commission, Modern logistics research center of Nankai University. Report of China Logistics Development, Beijing: Peking University Publishing House, 2011. (Chapter 07, Participate in Writing)


Projects

As a PI
[1]  
Presided over the National Natural Science Foundation of China YouthProject (2018-2020), "Research on the optimization of multi-energy vehiclepaths for green urban logistics and distribution considering traffic restrictionconstraints".
[2] 
Presided over the project of Basic Research Funds for Universities(2021-2022), "Study on the optimization of the path of pure electricvehicles for 'last-mile' distribution Path Optimization Research"
[3] 
Humanity and Social Science Youth Foundation of Ministry of Education of China funded project(2013-2016), "Vehicle routing problem with environment consideration"
[4] 
Fundamental Research Funds for the Central Universities, P. R. China funded project(2010-2013), "Research on urban vehicle routing problems with things of Internet in emergency logistics"

Teaching

Undergraduate: 
Purchasing and Supply Management, Inventory Management, Data Structure, Probability Theory
MBA:
Purchasing and Supply Management