How to Optimize Supply Chain Management with Big Data
張岳庭
D0741017
Source: https://bigdataanalyticsnews.com/optimize-supply-chain-management-with-big-data/
D0741017
Source: https://bigdataanalyticsnews.com/optimize-supply-chain-management-with-big-data/
What is big data? How can companies use it to optimize supply chain management? Big data is a large amount of information transmitted from multiple internal contact points and external sources in various formats at high speed.
Unless proper analysis is focused on clearly defined goals, it is almost useless to have big data. Because traditional ERP and SCM systems may not be able to cope, it is necessary to use advanced data systems and cloud-based technologies to properly plan for better collection, storage, analysis and faster speed. According to the article, “The efficient supply chain works well on reliable, accurate and optimized tools. One of them is the transportation status tool, which provides real-time information on all movements on the integrated platform. Big data can learn the system and generate alerts when any shipment is about to arrive or exceeds the plan.” With this data system, you don't have to worry about supply records or accuracy, because every transaction is displayed in the central system. Noticed by the author that "This helps management control overseas subsidiaries and overseas warehouses while intervening in a timely manner when necessary."
According to the author Kurt Walker, “The Internet of Things has made great strides offering limitless opportunities and innovations in business management globally. Big data is the link between businesses and this limitless cloud-based capacity that supply chain managers can tap into to improve the operations immensely. There is no limit to the amount of data you can gather and store on this platform, and the benefits are great.”
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ReplyDeleteAdvantages of big data in supply chain management
ReplyDeleteBig data is only useful if it uses many of the advantages of big data to improve supply chain operations. First, if you link it to a reliable touchpoint, its huge predictive power. You can avoid two extreme inventory levels by forecasting production to match expected demand, thereby ensuring effective use of resources.
Reducing costs is the key to every business and the main reason why companies are pursuing big data. By analyzing the latest data that is readily available, you can gain insight into new ways to optimize supply chain efficiency, revise standards, and reduce overall costs.
Another key component of the supply chain is the customer, whose satisfaction is critical. This means that you must have real-time and credible information for customers in order to provide better services, including shipment updates and timely delivery of quality products.
Big data provides unparalleled support for information and tracking, making your logistics work reliable. In the face of product recalls, big data provides tools for tracking products with global influence, and you can save a lot of resources with just one click. On the big data platform, there is no aspect that cannot be optimized in terms of supply chain operations.
The Internet of Things has made great progress, providing unlimited opportunities and innovations for enterprise management on a global scale. Big data is the connection between enterprises, and supply chain managers can use this unlimited cloud-based capabilities to greatly improve operations. There is no limit to the amount of data you can collect and store on this platform, and the benefits are great.