Abstract: To deal with the unsteady supply problem of power materials caused by the centralized procurement adopting high-volume and long-period purchasing, a multistage iterative revising sourcing model is proposed. The main idea is to dynamically adjust the sourcing amount from suppliers based on continuous sampling inspection. Firstly, the best bidding stages and batches are determined based on the economic order quantity model, while the multi-stage bidding pattern and electrical material supplier evaluation index system are built. With supplier performance evaluation system, historic service data of electric power materials is captured for the prediction of the material service quality of next stage, which is then imported by the dynamic standard package allocation model to revise the suppliers′ sourcing quantity. A demonstrative case is adopted to exemplify the usage of the above model, and a series of sensitivity analyses are conducted to provide instructive guidance for both material purchasers and suppliers. At last, a mobile internet-of-thingsbased electric power material monitoring system is developed to construct a feasible working environmental for the proposed model.