A5101601883- Collaboration in agile enterprises
- Maritime Ports and Logistics
- Maritime Transport Emissions and Efficiency
- Vehicle emissions and performance
- Engineering Technology and Methodologies
- Supply Chain and Inventory Management
- Real-Time Systems Scheduling
- Fault Detection and Control Systems
- IoT and GPS-based Vehicle Safety Systems
- Artificial Intelligence Applications
- Maritime Navigation and Safety
- Power Systems and Technologies
- Smart Grid and Power Systems
- Infrastructure Maintenance and Monitoring
- Power Systems and Renewable Energy
- Manufacturing Process and Optimization
- Law, logistics, and international trade
- Digitalization and Economic Development in Agriculture
- Traffic Prediction and Management Techniques
- Advanced Algorithms and Applications
- Photovoltaic System Optimization Techniques
- Additive Manufacturing and 3D Printing Technologies
- Service-Oriented Architecture and Web Services
- Outsourcing and Supply Chain Management
- Time Series Analysis and Forecasting
Henan Agricultural University
2023-2024
China Tobacco
2023
Wuhan University of Technology
2013-2016
Shanghai Maritime University
2005-2013
Jiangsu University
2013
Agility is regarded as one of the core capabilities and developing trend supply chains their enterprises. Along with development economical globalization, chain management containerization well container ports a part take more roles like logistics or distribution centers. Under this background, terminal should have superior response develop agility. The main goal paper to emphasize illustrate importance imminence implementing agility in terminals. To achieve goal, analysis economies scale...
Abstract The ventilation rate of cigarettes is an important indicator that affects the internal quality cigarettes. When producing cigarettes, unit may experience unstable rates, which can lead to a decrease in cigarette and pose certain risks smokers. By establishing prediction model, guide design parameters advance, achieve goal stabilizing rate, improve stability enhance This paper used multiple linear regression networks (MLR), backpropagation neural (BPNN), genetic algorithm-optimized...
Purpose: To find out ships' optimum operating speed under low-carbon economy. Approach: First, it analyzes the relations between ship’s carbon emission and speed, gets which entire fleet emit minimum carbon, then establishes ship owner’s profit extracts owner can gain maximum founds it’s different from carbon. Findings: The government must take effective measures to make slowdown reduce emission. Originality: It first works a balance point decrease of brought by lower increase that caused...
The supply chain nowadays is more dynamic than before partly due to the information techniques and changes of consumer behaviors. This proposal analyzes multiple objective optimization problems existing in management, stochastic circumstance current chain. It presents a general overview multi-objective techniques, programming. We attempt apply these solve some chain, under changing environment. can be guideline future research. There are mainly three parts proposal; first real environment...
Abstract The ventilation rate of cigarettes is an important indicator that affects the suction resistance cigarettes. This paper used multiple linear regression networks (MLR), backpropagation neural (BPNN), and genetic algorithm-optimized (GABP) to construct a model for prediction cigarette rate. results indicated total was significantly positively correlated with unit weight(P<0.01), circumference, hardness, filter permeability, resistance. showed MLR models' (RMSE = 0.651, R2 0.841)...