Abstract
In the era of big data, "knowledge" scope is expanded. To realize the optimization of supply chain collaborative innovation in the era of big data, the platform of the collection, analysis, mining and application of massive data resources is needed. By analyzing the sources of big data of collaborative innovation of supply chain, a basic framework of knowledge innovation platform of Guizhou supply chain enterprises under the environment of big data is proposed. The effect of big data technology on supply chain logistics mode is analyzed, and the current situation of logistics industry modernization in Guizhou province is discussed. The mathematical model of big data processing is designed, and an example is simulated to validate the advantage of the proposed method.
Highlights
The traditional supply chain management requires close cooperation between the supply chain node enterprises, planning, coordinating and controlling the resources of each node enterprise in the logistics, capital flow and information flow, so as to realize the coordination in the demand forecast, inventory, ordering and other aspects, reduce the “bullwhip effect”, and provide the best products and services to the end users with the lowest cost and the shortest time, so as to achieve stability competitive advantage
Knowledge plays an important role in the supply chain: the whole production and operation process of the supply chain is the production process of products, and the process of knowledge utilization and innovation, and any link cannot be separated from knowledge; at the same time, because the update speed of knowledge is constantly accelerating, the knowledge of any node enterprise cannot maintain the leading level in all aspects, and the business flow of node enterprises has connections in the process, and their knowledge is complementary
Modern supply chain management requires a comprehensive management of knowledge in the supply chain to promote knowledge sharing, knowledge utilization and collaborative knowledge innovation among node enterprises, so as to improve the overall competitiveness of the supply chain
Summary
The traditional supply chain management requires close cooperation between the supply chain node enterprises, planning, coordinating and controlling the resources of each node enterprise in the logistics, capital flow and information flow, so as to realize the coordination in the demand forecast, inventory, ordering and other aspects, reduce the “bullwhip effect”, and provide the best products and services to the end users with the lowest cost and the shortest time, so as to achieve stability competitive advantage. Knowledge plays an important role in the supply chain: the whole production and operation process of the supply chain is the production process of products, and the process of knowledge utilization and innovation, and any link cannot be separated from knowledge; at the same time, because the update speed of knowledge is constantly accelerating, the knowledge of any node enterprise cannot maintain the leading level in all aspects, and the business flow of node enterprises has connections in the process, and their knowledge is complementary. Because supply chain is a dynamic alliance composed of many different enterprises, compared with knowledge management system in a single enterprise, supply chain knowledge management system has its complexity and particularity in technology, function and architecture (Pankaj,et al,2020;António, A.C.,et al,2020)
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