Abstract:In order to solve the problem of insufficient data utilization in supplier relationship management and fully elevate the mining ability and application effect, promoting the control level of supplier management and the construction of modern supply chain, in this paper, a big data analysis model of supplier was constructed based on HHM theory, whose key elements are scientifically designed. General and specific indexes are combined to form the evaluation indicators. The index weight is determined by AHP method. The evaluation results of suppliers are obtained by using scientific scoring methods such as quartile method. The results of index scores are quite applicable in many scenarios, including supplier hierarchical management, supplier classification management, correlation analysis, early warning analysis, product industry analysis and so on. These scenario applications do help to release the intrinsic value of the big data and explain the capability and status of the suppliers in terms of production or technology, so as to know the actual situation of suppliers more comprehensively and deeply. Based on this, the level of supplier relationship management of grid companies is significantly achieved, providing important support for the purchasing of high-quality electrical equipment, and the construction of “Ubiquitous IoTE”.