A5081499025- Digital Transformation in Industry
- Advanced Manufacturing and Logistics Optimization
- Sustainable Supply Chain Management
- Urban and Freight Transport Logistics
- IoT and Edge/Fog Computing
- Indoor and Outdoor Localization Technologies
- Transportation and Mobility Innovations
- Scheduling and Optimization Algorithms
- Food Supply Chain Traceability
- Vehicle Routing Optimization Methods
- Advanced MIMO Systems Optimization
- Smart Grid Energy Management
- Machine Fault Diagnosis Techniques
- Algorithms and Data Compression
- Quality and Supply Management
- Network Packet Processing and Optimization
- Network Security and Intrusion Detection
- Advanced Neural Network Applications
- Collaboration in agile enterprises
- Outsourcing and Supply Chain Management
- Manufacturing Process and Optimization
- Metal Forming Simulation Techniques
- Building Energy and Comfort Optimization
- Video Surveillance and Tracking Methods
- RFID technology advancements
Hong Kong Polytechnic University
2023-2025
Huazhong University of Science and Technology
2024
Harbin Institute of Technology
2005-2024
Northeastern University
2024
Nanjing University of Posts and Telecommunications
2018-2023
Xi’an University of Posts and Telecommunications
2021-2023
University of Hong Kong
2016-2020
UNSW Sydney
2019-2020
Tsinghua University
2018
National University of Defense Technology
2010-2015
This paper proposes comparisons among two different competitive power structures with and without horizontal coordination. We conduct a game theoretic analysis on the situation where logistics service providers compete in an e-commerce market respect to order quantity level decision particular product. Under consumer utility-based demand, we acquire equilibrium decisions optimal profits under centralised setting decentralised setting. An analytical model is established examine existence of...
This paper investigates a less-than-truckload carrier collaboration decision-making problem in the e-commerce logistics network. E-commerce considers multiple service providers (LSPs) forming collaborative alliance an They share their transportation requests and vehicle capabilities to maximise total profit of entire alliance, improve utilisation cope with fluctuations demand. An trading system decisions is designed. A planning model introduced without reducing individual carriers...
Acquiring the real-time spatial–temporal information of manufacturing resources holds promise to enable efficient operation in factory logistics. This article proposes a system architecture using industrial Internet Things and digital twin technologies fulfill traceability visibility with seamless cyber-physical synchronization for finished goods logistics workshop. A long short-term memory network-enabled genetic indoor-tracking algorithm (GITA) is developed locate product trolleys via...
In perishable supply chain logistics, even a small departure from the required storage conditions at any distribution link can compromise quality of transported products, such as food, pharmaceuticals, and other bioproducts, resulting in big losses for businesses involved or threats to public health. To enhance management (QM) consumer confidence, an edge-cloud blockchain Internet Everything (IoE)-enabled QM platform is proposed achieve low delay rapid response sensor data acquisition,...
This research addresses a vehicle routing problem with simultaneous pickup and delivery time windows from multiple depots (MVRPSPDTW) over horizon in the B2C e-commerce logistics system. We consider an system multi-period, which consists of customers, service providers (LSPs), suppliers, decision-making platform. A mixed-integer non-linear programming (MINLP) model is developed tested on small- large-scale instances. To handle more realistic problems, we have used two approaches (i) exact...
Enterprises are paying more attention to warehouse management which has a pivotal role in enhancing productivity of the whole supply chain. As key enabling technology for business intelligence(BI) applications, indoor positioning contributes object location awareness such as order picking and stock taking. In this work, we propose new cost-effective approach using iBeacon released by Apple, Inc. management. Also, improved trilateration fingerprinting algorithms proposed real-life case Our...