Future-oriented intelligent logistics and supply chain system
Future intelligent logistics and supply chain form: supply chain digitalization, logistics intelligence, collaborative transparency
Focus on the future development trend of intelligent logistics and supply chain. When it comes to logistics, it is inseparable from the informationization of the entire supply chain. Logistics is the system implemented at the end of the entire supply chain. Therefore, in the face of changes in the supply chain format, the form of logistics services has also undergone major changes. The supply chain of the manufacturing or commerce industry is constantly re-engineering. In the direction of the digital supply chain, the digital supply chain is relatively simple to describe: First, the origin and consumption of goods, supply chain structure, supply chain network capacity and supply chain. Delivery timeliness, these elements can be easily represented by charts or a series of numbers. Second, the flexibility of the supply chain requires more intelligent and more digital implementation of the supply chain. Third, the connection between supply chain and logistics, supply chain implementation requires the logistics of some services, such as how the upper-level planning of the supply chain is seamlessly connected through logistics, how to ensure the timely interaction of the plan through logistics implementation.
Secondly, in terms of synergy and transparency, each company will encounter some pain points of data isolation and information faults. Regardless of manufacturing, business or logistics, logistics is a collaborative and collaborative ecology. Collaborative and transparent is the core of division of labor. Now it is a social form with a clear division of labor. Each company has its own division of labor. For example, how to make synergies between Huawei's suppliers and Huawei's manufacturing systems, Huawei's mobile phone distribution system and various Huawei logistics providers. It involves the synergy, transparency and integration of the industrial chain. The three development trends of supply chain digitization, logistics intelligence, and synergy and transparency are the core development forms of China's supply chain logistics.
Supply chain faces intelligent challenges
The supply chain faces many challenges in terms of speed, security and customization. Customized production requires the supply chain to have good response efficiency and flexibility. In different industries such as auto customization, home appliance customization, and custom mobile phones, flexibility requires logistics to be more intelligent to quickly respond to changes in the consumer market and back-end manufacturing. Flexible demand, so intelligent technology and data processing capabilities become the core technology support of the flexible supply chain.
Technology empowerment and intelligent supply chain optimization and upgrading
From the technical point of view of the development of the supply chain, technological innovation continues to promote the continuous development of the supply chain, whether from the financial aspect or the operational process, the use of technology to promote intelligent upgrades. The four levels of supply chain technology upgrade include: the first level, plan optimization. Often, more people talk about implementation, and the plan's landing and optimization involve less. Many companies, especially logistics companies, are at a loss in the face of ever-changing plans, which involves how to optimize the plan. The second level, order optimization. Such as order demand forecasting, including warehouse optimization, inventory optimization. How to ensure rapid interaction from warehouse to customer, this involves transportation optimization, the third level, warehousing optimization and management strategy. The fourth level, transportation optimization, includes line optimization, scheduling optimization and resource management.
Supply chain industry integration solution
The links of each chain involved in supply chain integration require the support of technologies such as big data, cloud computing and intelligent algorithms. Building enterprise-level landing applications, technology platform capabilities, algorithm capabilities, and computing power are unaffordable for a single enterprise. The core of the core needs to rely on a more powerful technical team and platform to achieve big data collaboration and cloud platform technology synergy.
Supply Chain Collaboration and Optimization Practice
The first part is the collaboration and planning that was just mentioned. In terms of supply chain, forecasting ability is the most upstream part of the supply chain, from order to purchase demand, to how inventory stocks are optimized for historical data, to predict the demand for inventory and logistics, including inventory and transportation in the next month or next week. Supply chain planning optimization is a process of dynamic balance. Only dynamic balance can be found. The end will have an accurate basis for order execution and logistics execution intelligence, and it is also the most basic basis for logistics intelligence.
Supply chain planning collaboration and execution optimization are the core areas of the industry's focus on smart supply chains. A balanced interaction between upstream production capacity, supply capacity and inventory capacity can provide accurate resource and demand planning for logistics execution.
Intelligent logistics transportation operation optimization practice
The implementation of logistics is to pay attention to the coordination of the car yard. On the one hand, the balance of resources and demand, how to balance the limited resources and dynamic demand platform through intelligent algorithms; on the other hand, in the process of logistics execution, capacity, goods and goods Dynamic optimization, real-time warning and flexible adjustment. Therefore, logistics execution requires efficient and synergistic algorithms to help control the value balance and risk response between the capacity pool resource and the dynamic source. Finally, relying on real-time truck intelligent navigation, the goods are delivered in the shortest time and at the lowest cost. The process of intelligent logistics is often influenced by the thinking and operational inertia of management and executives, resulting in the optimization results not being effectively implemented; of course, the optimization process itself requires a process of continuous learning and improvement, and the optimization algorithm and the dispatcher need to accumulate in the process. Experience can achieve relatively optimal results.
Reprinted from the network