Supply Chain Construction and Optimization Model Based on Grid Computing and Process Data Mining Algorithms

This paper studies the supply chain construction and optimization model based on grid computing and process data mining algorithms. C2B supply chain management mode causes enterprises to rely too much on suppliers. In order to get rid of dependence on suppliers and establish partnerships with more suppliers is an effective way for e-commerce enterprises to reduce business risks, and selecting capable suppliers has a certain positive effect on promoting the overall function of the supply chain. Hence, in this paper, the model is based on this and the computin model is integrated. Using grid computing technology to the connect computers all over the world, and integrate computer resources all over the world into fully shared resources through high-speed Internet, can be said to be a new change based on supercomputer and Internet technology. The integration model is tested and verified from different aspects.