A5100755331- Evaluation and Optimization Models
- Vehicle Routing Optimization Methods
- Advanced Decision-Making Techniques
- Sustainable Supply Chain Management
- Transportation and Mobility Innovations
- Electric Vehicles and Infrastructure
- Advanced DC-DC Converters
- Industrial Vision Systems and Defect Detection
- Food Supply Chain Traceability
- Blockchain Technology Applications and Security
- Manufacturing Process and Optimization
- Multilevel Inverters and Converters
- Vehicle emissions and performance
- Advanced Manufacturing and Logistics Optimization
- Product Development and Customization
- Urban and Freight Transport Logistics
- Industrial Technology and Control Systems
- Environmental Impact and Sustainability
- HVDC Systems and Fault Protection
- Railway Systems and Energy Efficiency
- Sustainable Industrial Ecology
- Quality and Supply Management
- High-Voltage Power Transmission Systems
- Collaboration in agile enterprises
- Power Systems and Renewable Energy
State Grid Corporation of China (China)
2022-2025
Liaoning Technical University
2021-2025
Runze (China)
2023-2025
Chevron (China)
2017-2025
Chongqing University
2014-2024
Heilongjiang Institute of Technology
2003-2024
Beijing Jiaotong University
2011-2024
Zhangzhou Normal University
2023-2024
Xi'an University of Science and Technology
2015-2024
Inha University
2022-2024
Abstract Ferroptosis is a regulatory cell death that dependent on iron‐mediated lipid peroxidation and membrane damage. The use of iron‐based nanocarriers to activate ferroptosis great significance in oncotherapy. However, the limited endogenous hydrogen peroxide (H 2 O ) high expression glutathione (GSH) tumor cells restrict efficiency inducing ferroptosis. Herein, ferric phosphate nanotherapeutic system (denoted as FeP@HCPT‐HA) reported with H ‐supply GSH‐elimination properties for...
Purpose This paper studies green vehicle routing problems of cold chain logistics with the consideration full set greenhouse gas (GHG) emissions and an optimization model for (with acronym GVRPCCL) is developed. The purpose this to minimize total costs, which include operating cost, quality loss product freshness penalty energy cost GHG cost. In addition, research also investigates effect changing maximum load in relation emissions. Design/methodology/approach study develops a mathematical...
Power batteries, the core component of rapidly evolving electric vehicle industry, have increasingly become a focal point attention. Recycling power batteries can mitigate environmental pollution and utilize resources efficiently, which is crucial for fostering low-carbon economy achieving sustainable development. Utilizing prospect theory, this study proposes tripartite game model innovation in battery recycling, involving government agencies, manufacturers, recycling enterprises. This...
The highly competitive electronics manufacturing marketplace demands that suppliers provide low‐cost, high‐quality products to their customers in a timely fashion. Shortened product life cycles and increasingly global competition have caused traditional manufacturers focus on company core competencies, such as design development, choosing outsource the actual of contract manufacturers. Although decision can both positive adverse effects key areas supply chain, one effect is manufacturer’s...
As a developing country, China has to balance economic and environmental performance. Green supply chain management (GSCM) is emerging be an important approach for Chinese enterprises improve performance, possibly on both these dimensions. Drawing upon database of over 160 manufacturing facilities in china this paper explore performance measurement GSCM. The results show that GSCM strongly complementary with other advanced practices, it contributes improved effects commercial are more ambiguous.
Purpose With the fierce competition in cold chain logistics market, achieving and maintaining excellent customer satisfaction is key to an enterprise's ability stand out. This research aims determine factors that affect logistics, which helps enterprises identify main aspects of problem. Further, suggestions are provided for improve satisfaction. Design/methodology/approach uses text mining approach, including topic modeling sentiment analysis, analyze information implicit customer-generated...
Purpose The transportation of fresh food requires cold chain logistics to maintain a low-temperature environment, which can reduce waste and ensure product safety. Therefore, temperature control is major challenge that face. Design/methodology/approach This research proposes prediction model refrigerated truck air conditioner status (air speed temperature) based on hybrid mayfly algorithm (MA) extreme learning machine (ELM). To prove the effectiveness proposed method, algorithm–extreme...
In this paper, a novel 3D cellular model consisting of aerial base stations (aBSs) and user equipments (aUEs) is proposed, by integrating the coordinated multi-point (CoMP) transmission technique with theory stochastic geometry. For new architecture, tractable for aBSs' deployment based on binomial-Delaunay tetrahedralization developed, which ensures seamless coverage given space. addition, versatile practical frequency allocation scheme designed to eliminate inter-cell interference...
Nowadays environmental issues have been of great concern to the world, among which problem global warming caused by greenhouse gas emissions is particularly prominent. All countries in Kyoto Protocol and Paris Agreement committed control emissions, China, as largest carbon emitter, has assumed a heavier burden. China striving develop low-carbon technologies such hydrogen, nuclear, wind, solar energy, but most attention should be paid CCUS, many scholars high expectations that CCUS can help...
A product service system (PSS) has been developed for manufacturing enterprises to provide users with personalized products and services. The optimization of PSS scheme selection is a key stage in the design phase. Given dynamic characteristics multi-dimensional influencing factors their coupling relationships, we propose digital twin-driven framework enhance selection. divided into twin layer, an information approach layer. logical relationship between three layers given, quantitative...