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2023-12-09

What Is The Impact Of Intelligent Warehousing Equipment?

Intelligent solutions are applied to internal enterprise decision-making, enabling decisions based on analysis of extensive logistics data, customer needs, inventory levels, and intelligent logistics simulation. This automation of logistics management (data collection, automatic classification, and more) makes logistics operations more efficient and convenient, changing the image of logistics companies as labor-intensive.

Intelligent logistics can reduce logistics costs. Intelligent logistics acquisition technology shifts logistics from a passive to a proactive approach, enabling proactive information collection throughout the logistics process, proactive monitoring of transportation links and goods, and proactive analysis of logistics information. This allows logistics to be tracked and managed from the source, achieving information flow faster than physical flow.

Intelligent transmission technology, applied within logistics companies, can also transmit logistics data externally. This improves service quality, accelerates response times, increases customer satisfaction, and fosters closer integration between logistics supply chain management.

The application of intelligent technology in logistics management advancement, forecasting, decision-making applications, modeling and simulation, and global logistics management enables logistics companies to make more accurate and informed decisions. With the trend of intelligent logistics, the informatization of logistics companies in my country will reach a new level, and at the same time it will also promote the realization of information sharing in the logistics field.


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The Impact of IoT on Logistics Informatization

First, openness.

In the past, establishing an information system meant managing its own processes and resources. Building an open system allows for the exchange and sharing of social and external information, while also providing opportunities for public disclosure of its own information. This kind of openness is a necessary development trend for improving operational capabilities.

In this open process, popular technologies, such as positioning and sensor technology, may become important tools for achieving openness. At the same time, we must also understand that the primary constraint on openness is security. Currently, addressing security challenges relies on technology, processes, laws and regulations, and internal controls. The security landscape is constantly evolving, including understanding of potential safety hazards and levels of responsibility. This shift is leading to a constant adjustment in the balance between openness and security, which will also drive the gradual opening of the system itself. In the new era, building open systems requires balancing openness and security, considering the relationship between these two aspects, and the associated technologies and resources involved—all factors that must be considered when promoting system openness.

Second, dynamism.

Adapting to rapidly changing environments and improving lean management practices are key requirements for business development. When system dynamism is required, location services become essential. Location information is the collection of information containing two fundamental elements: identification and time. This information is bundled with other environmental information to form the "information element" for dynamic logistics management. Other management information, such as temperature, pressure, and humidity, can be loaded onto this information. Using sensor technology, the information bound to it can be dynamically managed. Thus, identification information and time information become a bundled information element, creating a public information service for dynamic information—a public information service platform.

On the other hand, the dynamic nature of logistics system management and the social nature of services will influence the dynamic nature of logistics management.

Third, centralization.

The trend of informatization in integrating and regulating online resources is becoming increasingly pronounced. Without centralization, information cannot be processed and improved. Therefore, standardized management helps improve information processing capabilities and service capabilities. At the same time, information processing talent is scarce, and only with centralization can investment in data centers be justified. Therefore, we can see that the centralization of information management methods is a crucial feature of informatization construction. Furthermore, we are also seeing rapid development of technologies that facilitate information outsourcing, such as cloud computing, and the increasing demand for technology and talent in big data mining and knowledge management systems. These are all changes driven by centralization.

Fourth, key technologies.

Several key technologies will see rapid development. First, identification and collection information technology, including RFID and sensors; second, mobile communications technology, including 3G and even 4G networks; and third, mobile terminals. Compared to informatization in traditional industries, two unique tools in logistics informatization—L-band terminals and handheld terminals—will see rapid development. Studying the differences between these two mobile terminals will shed light on how objects and people will be managed in the era of the Internet of Things. Fourth, location-based services are very popular, and location-based services powered by smartphones are growing even faster. Fifth, business intelligence (BI) is likely to gain popularity once management shifts to information processing and information management, using BI to generate and process information, make decisions, and achieve value.

Fifth, data centers.

Data centers are often overlooked, but in the advancement of the Internet of Things, the various challenges encountered may not have universal answers. However, as more and more examples emerge, we find that these examples reflect the success of data center organizations. Looking at current successful examples, the fastest-growing entities are all data center-based

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