1. Team Overview
The Logistics Engineering Research Team of the School of Traffic and Transportation focuses on modern logistics, intermodal transport, railway freight, and supply chain management. Its research spans logistics development strategy and planning, logistics node planning and design, logistics system analysis and integration, supply chain design and management, railway freight and logistics, intermodal transport and logistics system optimization, smart and green logistics, and express freight organization optimization.The team maintains extensive research collaborations with national agencies such as the National Development and Reform Commission (NDRC), the Ministry of Transport, China State Railway Group, the Standardization Administration of China, the China Federation of Logistics & Purchasing (CFLP), and various provincial and municipal governments. Its research integrates both macro-level strategic planning and micro-level technical studies, establishing a full-cycle, systematic methodology and delivering impactful practical outcomes.Key theoretical innovations include:
- An integrated logistics collaborative transportation and organization theory with railways as the backbone;
- A dynamic sensing and intelligent warehouse–distribution–transportation scheduling theory for commercial logistics park nodes;
- A networked organization method and transport plan optimization theory for high-speed rail express freight.
- The team has also overcome multiple frontier technological challenges, including:
- Key technologies for multimodal transport and express logistics development in railways;
- Market-oriented operation technologies for modern railway logistics;
- Full-process intelligent operation technologies for commercial logistics warehouses;
- Smart logistics service models under big data environments;
- Planning and operational technologies for China-Europe Railway Express;
- Transformation and upgrading solutions and key technologies for railway freight yards to support express logistics;
- Market development schemes and key technologies for international container transport via rail-sea express corridors.
These contributions provide robust theoretical and technical support for the advancement of modern logistics and railway freight, offer practical guidance for reducing overall societal logistics costs and accelerating the transformation of railway freight into modern logistics, and continuously cultivate outstanding talent for the fields of logistics and transportation.
Our research team consistently recruits PhD and master’s students. We warmly welcome motivated young scholars from disciplines such as Transportation Planning and Management, Transportation Engineering, Logistics Engineering, and Logistics Management to join us!
2. Team Member Profiles
The team comprises 11 members: 4 professors, 6 associate professors, and 1 lecturer.
Xiaoning Zhu, Executive Vice Dean of the Graduate School, Beijing Jiaotong University; Professor and Doctoral Supervisor.He serves on multiple national advisory bodies, including the National Standardization Technical Committee for Integrated Transportation, the Expert Panel on Intermodal Transport under the Ministry of Transport, and the Secretariat of the Teaching Steering Committee for Transportation Programs under the Ministry of Education. He has led or participated in over 80 research projects, including National Key R&D Programs and National Natural Science Foundation grants, published more than 70 SCI/EI-indexed papers, authored one monograph, and co-authored three textbooks. Recognized as a Beijing Municipal Teaching Master in 2011, he has received multiple national and municipal teaching awards.
Xiaodong Zhang, Director of the Department of Logistics Engineering, School of Traffic and Transportation, Beijing Jiaotong University; Professor and Doctoral Supervisor. He holds over ten prominent industry roles, including Vice President (part-time) of CFLP, Deputy Director of the Expert Committee of CFLP’s Logistics Park Division, Executive Vice President of CFLP’s Automotive Logistics Division, and Secretary-General of the Specialized Transport Subcommittee of the China Railway Society. He has completed nearly 100 projects, including National Key R&D Programs, provincial/ministerial key projects, and enterprise commissions. His research findings have been incorporated into major national policy documents such as the 14th Five-Year Plan for Modern Logistics Development (State Council General Office [2022] No. 17) and Opinions on Accelerating the Construction of a Modern Railway Logistics System by China State Railway Group. He has led or contributed to the formulation of five national logistics standards and has served for many years on expert panels evaluating National Logistics Hubs, National Backbone Cold Chain Logistics Bases, National Demonstration Logistics Parks, and National Intermodal Demonstration Projects. He was honored as one of the “40 Representative Experts in China’s Logistics Industry over 40 Years of Reform and Opening-Up” and among the “40 Outstanding Experts in Transportation and Logistics over 40 Years.”
Xifu Wang, Professor and Doctoral Supervisor, School of Traffic and Transportation, Beijing Jiaotong University; a renowned logistics expert. He serves as Senior Advisor for Fujian Province’s Belt and Road Initiative, reviewer for the Ministry of Science and Technology (Modern Service Sector), and expert for the Ministry of Public Security (Intelligent Transportation). He also holds leadership roles in multiple academic societies and editorial boards, including Journal of the China Railway Society. He has led or participated in over 100 national and industry-level projects, published more than 200 high-quality papers, authored or co-authored 24 books and textbooks, holds over 20 software copyrights and 10+ invention patents, and has received one National Science and Technology Progress Award (Second Class) and over ten provincial/ministerial-level science and technology awards.
Maoxiang Lang, Professor and Doctoral Supervisor; Academic Lead for the Transport and Logistics Theory & Technology track within the Transportation Planning and Management discipline. His research focuses on transport logistics management and modern freight transport technologies. He has led over 30 projects funded by China State Railway Group (formerly Ministry of Railways), NDRC, Chinese Academy of Engineering, and enterprises. He has received one Grand Prize, two First-Class, two Second-Class, and two Third-Class provincial/ministerial and society-level science and technology awards. He authored monographs including Optimization Models and Algorithms for Delivery Vehicle Scheduling, Organization of High-Speed Rail Freight Trains, and Extended Traffic Assignment Models and Algorithms, and edited textbooks such as Logistics Service Operations Management, Forecasting Theory and Methods, Railway Goods Transport, Railway Goods Transport (English), Transport Business, Railway Transport Policy and Regulations, and Railway Freight Technology. He co-authored Innovative Practices in Railway Container Transport and published over 100 journal and conference papers.
Shouwen Ji, Associate Professor and Doctoral Supervisor, School of Traffic and Transportation, Beijing Jiaotong University. He serves as an expert for the Belt and Road Logistics Branch of the China Transportation Association, the National Intermodal Demonstration Project Evaluation Panel (Ministry of Transport & NDRC), the Supply Chain Demonstration Project Panel (Ministry of Commerce), the New Eurasian Land Bridge International Coordination Mechanism Office, UNDP China, and the National E-Commerce Standardization Committee. He has led or participated in over 100 research projects in transportation planning, logistics engineering, information systems, and e-commerce. His research interests include logistics strategy planning, logistics park planning, logistics informatization, logistics big data analytics, smart logistics and supply chains, intermodal transport, and intelligent transportation systems.
Lu Qin, Deputy Director of the Department of Logistics Engineering; Associate Professor and Master’s Supervisor. She is also Deputy Dean of the Institute of Logistics Engineering Design (CFLP Beijing), Vice President of the Logistics Branch of the China Cereals & Oils Association, and Executive Leader of the Smart Logistics Working Group under the Urban Sciences Council of the Ministry of Housing and Urban-Rural Development (MOHURD). She has led or participated in over 100 projects covering urban logistics planning, smart logistics operations, logistics park business planning and design, and enterprise supply chain optimization. In 2015, she founded MOHURD’s Smart Logistics Working Group to promote integration between smart logistics and smart cities. Her expertise spans logistics planning theory and methodology, smart logistics architecture, transportation planning techniques, system analysis and integration, big data mining, and system development.
Lifen Yun, Associate Professor and Doctoral Supervisor, School of Traffic and Transportation. With over a decade of experience in transportation engineering research, she has led or participated in more than 10 projects, including the National “863” Program and National Natural Science Foundation grants. She has published over 30 papers in domestic and international journals and conferences and authored the monograph Reliability-Based Location Modeling in Transportation Networks. She serves as a reviewer for journals including the Transportation Research Part series and Railway Transport Economics and Management.
Kanglin Liu, Associate Professor and Master’s Supervisor, Department of Logistics Engineering, School of Traffic and Transportation. Her research focuses on logistics system simulation and optimization, and emergency logistics and supply chain management. She has published multiple papers in top-tier journals such as Transportation Research Parts B/C/E, European Journal of Operational Research, IISE Transactions, International Journal of Production Research, and Chinese Journal of Management Science. She has led projects including NSFC General and Youth Programs, China Postdoctoral Science Foundation grants (including Top-Tier and Special In-Station Funding), and central university research funds, and participated in NSFC high-speed rail key/joint/special/general projects and China State Railway Group key projects. Honors include Outstanding Doctoral Dissertation Awards from Tsinghua University and the China Logistics Society, the NSK Best Paper Award (Tsinghua Mechanical Engineering), and Best Application Paper in the 2020 IISE Transactions Focus Issue on Design and Manufacturing.
Zixuan Peng, Associate Professor and Master’s Supervisor; Core Member of the Key Laboratory of Integrated Transportation Theory (Ministry of Transport). His research centers on fundamental theories and key technologies for logistics network optimization based on supply-demand equilibrium. He has published 21 SCI/SSCI-indexed papers in journals such as Transportation Research Parts A, B, E, and Transportation, including one ESI Highly Cited Paper and one among TRE’s top-cited papers in the past three years. One paper won Best Paper at the 5th International Symposium on Multimodal Transportation. He has led one NSFC Youth Fund and one China Postdoctoral Science Foundation grant (68th Batch). He received Second-Class Science and Technology Awards from the China Intelligent Transportation Association (Rank 6) and China Transportation Association (Rank 8), and a Grand Prize from the China Transportation Association (Rank 10). He co-authored the MOE “14th Five-Year” strategic emerging field textbooks Urban Smart Logistics and Transportation Engineering (3rd Edition).
Pei Wang, Associate Professor, School of Traffic and Transportation. His research areas include railway freight and logistics, intelligent logistics system (warehouse) planning and design, logistics optimization decision-making, supply chain management, logistics network design, and logistics standardization. He has participated in nearly 20 national, provincial, and enterprise-level projects. His work has informed key policy documents such as Opinions on Accelerating the Construction of a Modern Railway Logistics System (China State Railway Group [2023] No. 97) and Railway Logistics Base Layout Plan and 2015–2017 Construction Schedule. He contributed to drafting national standards including Design Code for Railway Logistics Centers and regional plans like Nanning National Logistics Hub 14th Five-Year Development Plan. He received one provincial/ministerial Grand Prize and two First-Class Science and Technology Awards, participated in national standard development, and contributed to the China Logistics Technology Development Report annually from 2016 to 2021. He has published nearly ten high-quality SCI/EI-indexed papers.
Xisheng Shen, Lecturer, School of Traffic and Transportation. He has led or participated in over 60 research projects funded by the Ministry of Science and Technology, former Ministry of Railways, Beijing Municipal Science & Technology Commission, postdoctoral programs, local governments, and enterprises. He has published multiple SCI-indexed papers, co-authored three monographs/textbooks, and holds four software copyrights. His research focuses on logistics network optimization, network dynamics modeling and optimization, logistics indices, smart logistics, and modern logistics informatization.
3. Research Achievements (Click to play video)
3.1 Representative Publications
Over the years, the team has published more than 200 high-quality research papers in renowned academic journals both domestically and internationally. The research output spans key areas including intermodal transport, railway freight, commercial logistics, and high-speed rail express freight. A selection of representative publications is listed below.
[1]Li, S., Zhu, X., Shang, P., Wang, L., & Li, T. (2024). Scheduling shared passenger and freight transport for an underground logistics system. Transportation Research Part B: Methodological, 183, 102907.
[2]Yun, Lifen; Fan, Hongqiang; Li, Xiaopeng*, Reliable facility location design with round-trip transportation under imperfect information part II: A continuous model, Transportation Research Part B: Methodological, 2019.6 , 124:44~59
[3]Yun, Lifen, Qin, Yong, Fan, Hongqiang, Ji, Changxu, Li, Xiaopeng, Jia, Limin. A Reliability Model for Facility Location Design under Imperfect Information [J]. Transportation Research Part B: Methodological, 2015, 81: 596-615.
[4]Kanglin Liu, Qiaofeng Li, Zhi-Hai Zhang, Distributionally robust optimization of an emergency medical service station location and sizing problem with joint chance constraints. Transportation Research Part B: Methodological. 2019, 119: 79-101.
[5]Yun, Lifen; Wang Xifu; Fan Hongqiang, Li, Xiaopeng*. Reliable facility location design with round-trip transportation under imperfect information Part I: A discrete model[J]. Transportation Research Part E: Logistics and Transportation Review. 2020,133: 101825.
[6]Siyu Z, Xiaoning Z, Pan S, Zhengke L, Yu Y, Feixiong L, et al. Behavior-Adaptive Sync-Flow Framework: Integrating Frequency Setting and Passenger Routing in Oversaturated Urban Rail Transit Networks[J], Transportation Research Part E Logistics and Transportation Review, 2024, 189: 103659-103659.
[7]Zixuan PENG., et al. Stable vessel-cargo matching in dry bulk shipping market with price game mechanism. Transportation Research Part E: Logistics and Transportation Review, 2016, 95: 76-94.
[8]Peng, Z., Shan, W., Zhu, X., Yu, B. Many-to-one stable matching for taxi-sharing service with selfish players. Transportation Research Part A: Policy and Practice, 2022, 160, 255-279.
[9]Liu Yang, Kanglin Liu, Juan Zhang, Pamela J Zelbst, Inventory management with actual palletized transportation costs and lost sales. Transportation Research Part E: Logistics and Transportation. 2024. 184:103462.
[10]Kanglin Liu, Liu Yang, Yejia Zhao, Zhi-Hai Zhang,Multi-Period stochastic programming for relief delivery considering evolving transportation network and temporary facility relocation/closure.Transportation Research Part E: Logistics and Transportation. 2023. 180:103357
[11]Kanglin Liu, Changchun Liu, Xi Xiang, Zhili Tian, Testing facility location and dynamic capacity planning for pandemics with demand uncertainty. European Journal of Operational Research. 2023, 304(1):150-168.
[12]Kanglin Liu, Hengliang Zhang, Zhi-Hai Zhang, The efficiency, equity and effectiveness of location strategies in humanitarian logistics: A robust chance-constrained approach.Transportation Research Part E: Logistics and Transportation. 2021, 156, 102521.
[13]Kanglin Liu, Zhi-Hai Zhang, Capacitated disassembly scheduling under stochastic yield and demand. European Journal of Operational Research, 2018, 269(1): 244-257.
[14]Qi, Y., Harrod, S., Psaraftis, H. N., & Lang, M. (2022). Transport service selection and routing with carbon emissions and inventory costs consideration in the context of the Belt and Road Initiative. Transportation Research Part E: Logistics and Transportation Review, 159, 102630.
[15]Chen, X., Zuo, T., Lang, M., Li, S., & Li, S. (2022). Integrated optimization of transfer station selection and train timetables for road–rail intermodal transport network. Computers & industrial engineering, 165, 107929.
[16]Tang, W., Chen, X., Lang, M., Li, S., Liu, Y., & Li, W. (2024). Optimization of Truck–Cargo Online Matching for the Less-Than-Truck-Load Logistics Hub under Real-Time Demand. Mathematics, 12(5), 755.
[17]Sun, Y., Lang, M., & Wang, D. (2016). Bi-objective modelling for hazardous materials road–rail multimodal routing problem with railway schedule-based space–time constraints. International journal of environmental research and public health, 13(8), 762.
[18]Wang, S., Zhu, X., Zhuo, S., & Shang, P. (2024). Logistics vehicle routing optimisation with synchronised transfer. Transportmetrica A: Transport Science, 1-36.
[19]Shuai W, Xiaoning Z, Pan S, Xiao L, Liya Y, Lorant T, et al. Two-echelon Multi-Commodity Multimodal Vehicle Routing Problem Considering User Heterogeneity in City Logistics[J], EXPERT SYSTEMS WITH APPLICATIONS, 2024, 252
[20]Yansen Pei, Xiaoning Zhu, Li Wang, et al. Research on the “Train-to-Track” Assignment Strategy for Double-Bundle Railway Container Terminal Stations. Journal of the China Railway Society, 2024, 46(11): 21–32.
[21]Tian X, Li W, Qin Z, Jing‐Xin D, Dong‐Ping S, Xiaoning Z, et al. Integrated Scheduling of Gantry Cranes, Container Trucks and Yard Cranes in On‐dock Railway Operation Areas at Multimodal Container Ports[J], IET Intelligent Transport Systems, 2024.
[22]Tian X, Li W, Wenqian L, Qin Z, Jing-Xin D, Xiaoning Z, et al. Train Assignment and Handling Capacity Arrangement in Multi-Yard Railway Container Terminals: an Enhanced Adaptive Large Neighborhood Search Heuristic Approach[J], Computers & Industrial Engineering,, 2024, 198
[23]Lu Zheng, Wang Pei, Zhang Xiaodong. Research on Irregular Warehouse Layout Based on Optimized Genetic Algorithm. Promet – Traffic & Transportation, 2024, 2(36).
[24]Jiang Zhuoling, Zhang Xiaodong, Wang Pei. Grid-Map-Based Path Planning and Task Assignment for Multi-Type AGVs in a Distribution Warehouse. Mathematics, 2023, 13(11).
[25]Fang Yuxuan, Zhang Xiaodong, Li Yueyi. Research on Multicriteria Decision-Making Scheme of High-Speed Railway Express Product Pricing and Slot Allocation under Competitive Conditions. Mathematics, 2022, 10(9).
[26]Dong G, Shouwen J, Yanke Y, Cheng C, et al. A Decentralized Path Planning Model Based on Deep Reinforcement Learning[J], COMPUTERS & ELECTRICAL ENGINEERING, 2024, 117
[27] Yingfeng Kang, Shouwen Ji, Jingyu Wu, Jiawei Du. Research on Innovative Development Strategies for China-Europe Railway Express. China Storage & Transport, 2021, No. 12.
[28] Shitao Feng, Lu Qin. Study on Air Logistics Demand Forecasting for Chengdu Tianfu International Airport. Comprehensive Transportation, 2024, 46(5): 156–163.[29]Yi Zheng, Lu Qin, Zixuan Peng. Optimization of Mixed Cargo Allocation and Stowage with Heterogeneous Vehicles[J], Proceedings of the Institution of Civil Engineers - Transport, 2024
[29]Yi Zheng, Lu Qin, Zixuan Peng. Optimization of Mixed Cargo Allocation and Stowage with Heterogeneous Vehicles[J], Proceedings of the Institution of Civil Engineers - Transport, 2024
[30] Hong He, Lu Qin. Optimization Strategies for Resilience Enhancement of China’s Soybean Import Supply Chain Network. Comprehensive Transportation, 2024, 46(6): 144–149.
[31] Yupeng Yan, Lu Qin. Integrated Optimization of Shipment Timing and Routing for Full-Truckload Distribution Considering a Bidirectional Postponement Strategy. Comprehensive Transportation, 2023, 45(No. specified).
[32]Zixuan Peng, Peng Jia, Lianjie Jin, Zhen Guo, Wenxuan Shan, Stable container-route matching in multimodal transport: A case of Yangtze River Economic Belt,Computers & Industrial Engineering, 2024, 110218. (SCI 检索， JCR 1)
[33]Peng, Z., Wang, W., Wang, C., Yu, B. Designing stable ride-sharing for commuting trip chain with role flexibility. Transportation, 2024 (online).
[34] Shuangsong Xu, Kanglin Liu. An Optimization Design Method for High-Speed Rail Express Freight Networks Based on Distributionally Robust Optimization. Chinese Journal of Management Science, 2023.
[35] Zhuoling Jiang, Xiaodong Zhang, Pei Wang. Grid-Map-Based Path Planning and Task Assignment for Multi-Type AGVs in a Distribution Warehouse. Mathematics, 2023, 11(13).
[36] Yueyi Li, Xiaodong Zhang, Pei Wang. Service Network Optimization of Scheduled Trains for the New Western Land-Sea Corridor. Transportation Research Board (TRB) Annual Meeting, 2022.
[37]Xi-sheng Shen, Xiao-fang Wang and Xi-fu Wang. Robust Analysis of Freight Comprehensive Transportation Networks. International Conference on Applied Mathematics, Modeling, Simulation and Optimization, 2020: 340-346.
[38]Xi-sheng Shen, Xiao-fang Wang, Lian-yi Zhang and Xi-fu Wang. Topological Connectivity Analysis on Freight Transportation Networks. 2019 International Conference on Computational Modeling, Simulation and Optimization, 2019: 220-224.
[39]Xi-Sheng Shen, Xiao-Fang Wang, Xi-Fu Wang and Jian-Feng Zheng. Robust Pinning Control and its Sensitivity Analysis for Coal Transportation Networks, Energy and Mechanical Engineering, 2016: 1282-1289.
3.2 Representative Research Projects
(1) Key Technologies and Applications in Commercial Logistics
Addressing issues such as low efficiency and high costs in commercial logistics, the significant variations in cargo size, weight, and specifications making mixed loading difficult, and the complexity of commercial logistics networks leading to inefficient "waiting for cargo" or "waiting for vehicles" scenarios, intelligent technologies are being researched to enhance logistics efficiency. Representative projects include:
[1] National Key R&D Program: Application Demonstration of Dynamic Sensing and Intelligent Scheduling for Warehousing and Distribution at Commercial Logistics Park Nodes, 2021-2024, Principal Investigator.
[2] Natural Science Talent Fund Project: Research on Intelligent Resource Allocation Technology for Commercial Logistics Hubs, 2022-2025, Principal Investigator.
(2) Key Technologies and Applications in Railway Logistics
Focusing on reducing overall logistics costs and aiming at critical points and constraints for transforming traditional railways into modern logistics, comprehensive research is conducted on market positioning, product design, operation plans, and network optimization for railway modern logistics. This includes developing theories and methodologies for integrated multimodal logistics transportation with railways as the backbone. Representative projects include:
[1] National Natural Science Foundation of China (Joint Fund Project): Theory of Integrated Logistics Collaborative Transportation and Organization with Railways as the Backbone, 2025–2028, Principal Investigator.
[2] National Natural Science Foundation of China (Joint Fund Project): Research on Networked Organization Methods and Transport Plan Optimization Strategies for High-Speed Rail Express Freight, 2021–2024, Principal Investigator.
[3] Major Systemic Project of China State Railway Group: Key Technologies Research for Market-Oriented Operation of Modern Railway Logistics Aimed at Reducing Logistics Costs - Topic 1: Top-Level Design for Market-Oriented Operation of Modern Railway Logistics, 2024–2025, Principal Investigator.
[4] Major Systemic Project of China State Railway Group: Key Technologies Research for Developing Multimodal Transport and Express Logistics in Railways - Topic 1: Key Technologies for Building a High-Quality and Diversified Express Logistics System, 2023–2024, Principal Investigator.
[5] Major Systemic Project of China State Railway Group: Key Technologies Research for Developing Multimodal Transport and Express Logistics in Railways - Topic 3: Study on Node Location and Layout of Railway Express Logistics Networks Oriented Toward Market Segmentation, 2023–2024, Principal Investigator.
[6] Science and Technology Development Program of China State Railway Group: Key Technologies Research for Enhancing Heavy Haul Railway Technology and Equipment, 2023–2024, Principal Investigator.
[7] Science and Technology Development Program of China State Railway Group: Research on Operating Systems and Key Construction Technologies for Network Freight Logistics Platforms Led by Railways, 2023–2025, Principal Investigator.
[8] Horizontal Project Funded by Natural Sciences: Project for Compiling Application Materials for Wuhan Railway Inbound Grain and Meat Ports, 2021–2023, Principal Investigator.
[9] Special Research Project: Market Survey Monitoring and Product Positioning Research for Railway Logistics, 2024–2026, Principal Investigator.
[10] Special Research Project: Design of Service Networks and Train Operation Optimization for High-Speed Rail Express Freight, 2024–2026, Principal Investigator.
[11] Former China Railway Corporation’s Science and Technology Development Program: Feasibility and Implementation Strategy Research for Large-Scale Operation of High-Speed Rail Express Freight, 2021–2024, Principal Investigator.
[12] Former China Railway Corporation’s Science and Technology Development Program: Research on the Materialization of Railway Transport Documents, 2020–2021, Principal Investigator.
[13] Major Project of the Former Ministry of Railways: Research on Diversified Business Operations and Related Logistics Technologies in Railways—Product Design and Logistics Service Models for Diversified Business Operations, 2012–2014, Principal Investigator.
(3) Key Technologies and Applications in Planning for China-Europe Railway Express
Research focuses on source analysis and volume prediction for China-Europe Railway Express, optimization of route planning and European node layout, process optimization for multimodal transport operations, direct train operation models, and cooperation mechanisms among different operators. Representative projects include:
[1] Horizontal Project: Analysis and Study on the High-Quality Development System of Hefei International Trains, 2024-2025, Principal Investigator.
[2] Horizontal Project: Implementation Rules for Promoting the High-Quality Development of the China-Europe Train (Chongqing), 2024-2025, Principal Investigator.
[3] Provincial and Municipal Commissioned Project: Comprehensive Planning Services for Kunming's China-Europe (Asia) Train Assembly Center, 2024-2027, Principal Investigator.
(4) Key Technologies and Applications in Logistics Network Planning
Considering risks from natural disasters and human accidents that could lead to facility failures, this area aims to build scientifically laid-out and stable-running modern logistics networks through facility location selection, network planning, path optimization, and related decision-making optimizations. Representative projects include:
[1] National Natural Science Foundation General Program: Green Express Logistics Network Location-Path Optimization Considering Facility Failure Risks, 2025-2028, Principal Investigator.
[2] National Natural Science Foundation Youth Fund: Traffic Network Reliability Location Optimization Considering Facility Correlation Under Limited Information, 2017-2019, Principal Investigator.
[3] National Natural Science Foundation of China (General Program): Proactive-Reactive Design of Emergency Supply Networks under a Combined Physical-Production Reserve Model, 2025–2028, Principal Investigator.
[4] National Natural Science Foundation of China (Youth Fund): Multi-Objective Emergency Logistics Facility Location and Allocation Strategy Considering Affected Populations’ Suffering in Stochastic Dynamic Environments, 2021–2023, Principal Investigator.
3.3 Representative Awards and Honors
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Category
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Achievement Title
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Award Title
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Award Level
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Award Year
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Teaching-related
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Beijing Youth Mathematics Teacher
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Beijing Youth Mathematics Teacher
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Provincial Level
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2011
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Beijing Youth Mathematics Teacher
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Beijing Youth Mathematics Teacher
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Provincial Level
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2017
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"Belt and Road" Initiative for Railway Transportation Talent Training and Practice
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National-level Higher Education Teaching Achievement Award
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National Second Class
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2018
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School-level Multi-disciplinary Talent Cultivation and Application
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Beijing Municipal Higher Education Teaching Achievement Award
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Provincial Level, First Prize
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2018
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"Belt and Road" Railway Talent Cultivation and Practice
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Beijing Municipal Higher Education Teaching Achievement Award
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Provincial Level, First Prize
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2018
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Integration of Science and Engineering, Interdisciplinary Collaboration — Exploration and Practice of a High-Level Doctoral Training Model with Transportation Characteristics
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Beijing Municipal Higher Education Teaching Achievement Award
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Provincial Level, Second Prize
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2018
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Container Transport and Multimodal Transport
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National-level Elite Teaching Materials
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National Level
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2019
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National Virtual Simulation Experimental Teaching Center for Transportation - Transportation and Logistics Platform Direction
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National Virtual Simulation Experimental Teaching Center for Transportation - Transportation and Logistics Platform Direction
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National Level
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2019
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Container Transport and Multimodal Transport
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National Level Elite Teaching Award
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National Level
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2020
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Research-related
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Modern Railway Logistics System and Theory
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Chinese Railway Society Award in Railway Science and Technology
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Provincial Level
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2015
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Research on the Foundation of Railway Transport Systems
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Chinese Railway Society Award in Railway Science and Technology
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Provincial Level
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2016
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Key Technology Standard Research in Logistics Industry
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Chinese Society of Logistics Science and Technology Award
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Provincial Level
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2019
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Research on the High-Quality Development of Railway Transport Sales
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Chinese Society of Logistics Science and Technology Innovation Award
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Provincial Level
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2023
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Key Technology in Railway Transport Decision Analysis and Function Design
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Chinese Society of Logistics Science and Technology Advancement Award
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Provincial Level
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2014
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3.4 Representative Intellectual Property
The team has obtained a series of invention patents and software copyrights, mainly concentrated in the areas of logistics optimization, railway freight, detection, and forecasting systems. Some of these patents and software copyrights include:
[1] Joint Optimization Method for Pre-positioned Warehouse Location and Routing under the Integrated Warehouse-Store Model
[2] Reliability-Based Discrete Facility Location Method Considering Return Trips under Limited Information Scenarios
[3] Real-Time Monitoring System for Cargo Loading and Securing Status During Transit
[4] Web-Based Railway Container Freight Volume Forecasting System
[5] Railway Freight Volume Forecasting System V1.0
[6] Freight Inspection Information Management System for Railway Bureaus
[7] Computer-Aided Design System for Railway Cargo Loading and Securing
3.5 Publications
The team has published monographs and textbooks covering a wide range of topics, including logistics parks, logistics technologies, railway logistics, smart logistics, intelligent supply chains, blockchain and smart logistics, urban logistics, agricultural product logistics, big data in logistics, IoT and artificial intelligence, coal logistics, intelligent railway transport, containerization and intermodal transport, smart ports, and maritime logistics. Selected publications include:
[1] Innovative Development Report of National Logistics Hubs (2021–2024)
[2] China Logistics Technology Development Report (2016–2023)
[3] Innovative Development Report of Demonstration Logistics Parks (2024)
[4] China Apparel Logistics Development Report (2022)
[5] China Logistics Packaging Industry Development Report (2022)
[6] China Logistics Technology Development Report (2019)
[7] Urban Smart Logistics
[8] Container Transport and Intermodal Transport (2nd Edition)
[9] Theory and Methods for Planning Container Intermodal Corridors
[10] Traffic Safety Engineering
[11] Railway Goods Transport
[12] Forecasting Theory and Methods
[13] Optimization Models and Algorithms for Delivery Vehicle Scheduling
[14] Blockchain and Smart Logistics
[15] Smart Logistics and Supply Chain Information Platforms
[16] Design and Optimization of Supply Chain Networks
[17] Research and Practice on Innovative Models of Logistics Information Services
[18] Reliability-Based Facility Location in Transportation Networks
[19] Technical Requirements for Railway Material Warehousing Management
[20] Research on Facility Location Models and Algorithms for Emergency Response Systems Based on Distributionally Robust Optimization
[21] Logistics Service Operations Management
[22] Organization of High-Speed Rail Freight Trains
4. Team Contacts and Contact Information
Contacts: Pei Wang, Kanglin Liu
Emails: peiwang@bjtu.edu.cn, klliu@bjtu.edu.cn
