一种多式联网深度强化学习方法,用于物联网驱动的适应性调度和全球物流网络中的稳定性优化
1College of Business, Yangzhou University, Yangzhou, 225000, Jiangsu, China. luyao_5233@163.com.
Scientific reports
|July 12, 2025
概括
本研究介绍了一种使用多式联网深度强化学习和物联网 (IoT) 进行自适应物流调度的AI框架. 它提高了供应链的弹性和效率,大大降低了成本并提高了服务水平.
科学领域:
- 物流和供应链管理的物流和供应链管理.
- 人工智能的人工智能
- 运营研究 运营研究
背景情况:
- 全球物流网络面临着需求波动和中断等挑战.
- 整合多种数据源 (物联网,历史) 对于有效管理至关重要.
- 现有的方法在动态调度和强大的优化方面扎.
研究的目的:
- 开发一个人工智能驱动的框架,用于全球物流中的适应性调度和稳定性优化.
- 将多式联络深度强化学习与物联网 (IoT) 技术相结合.
- 提高供应链的弹性和运营效率.
主要方法:
- 多式联网数据融合机制合成异构的物联网传感器数据,历史记录和上下文信息.
- 适应性深度强化学习架构产生动态调度策略.
- 一种多目标的强大优化方法平衡了运营效率与系统弹性.
主要成果:
- 拟议的框架实现了运营成本减少18.7%,服务水平提高12.4%.
- 显示显著增强的稳定性,在复杂的中断期间保持83%的性能稳定性.
- 在现实世界物流数据集中表现优于传统方法.
结论:
- 人工智能框架有效地应对全球物流挑战,包括需求波动和中断.
- 多模式学习和强大的优化技术提高了供应链的性能.
- 该方法为人工智能驱动的物流运营管理提供了可行和实际的解决方案.
相关概念视频
Reinforcement Schedules
243
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
Once a behavior is learned,...
243
Distributed Loads: Problem Solving
740
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
740
Multi-input and Multi-variable systems
150
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
150
Observational Learning
317
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
317
Distributed Loads
620
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
620
Associative Learning
593
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
593
