Journal of Digital Information Management WANG Fan, WANG Yan-Li, LIU Zhi-Jie, CUI Xiao, ZHANG Peng 14 5 2016 http://dline.info/fpaper/jdim/v14i5/jdimv14i5_4.pdf E-commerce cloud warehouse is a logistic service model developed to meet e-commerce demands. The model is characterized by multi-site warehousing, big data prediction, accurate stock, and nearby distribution. A set of unified management standards must be established to effectively address the difficulty in ecommerce cloud warehouse management. For the convenience of quantitative grading management of branch warehouses, the method for confirming ecommerce cloud warehouse grading based on mass simulation data analysis was proposed in this paper. The discrete event simulation model was built, the simulation experiment was designed, and the mass experimental data were analyzed and integrated to finally obtain the model of e-commerce cloud warehouse grading. The effectiveness of the grading model was also verified. Analysis results suggest that historical data cannot guarantee adequate big data size and sufficiently high data accuracy for the issues of e-commerce cloud warehouse grading. Thus, experimental data must be obtained by building a discrete event simulation model. The validity and universality of the simulation model are necessary to ensure the rationality of experimental data. Through simulation modeling, simulation experiment design, and experimental data mining, the quantitative standards for e-commerce cloud warehouse grading can be obtained. Verification results show that the quantitative grading results are consistent with the experience-based grading results. This research proves the feasibility of obtaining the quantitative standards for e-commerce cloud warehouse grading based on mass simulation experimental data. The proposed grading model is suitable for e-commerce cloud warehouses of different industries.