It is difficult to describe the complex relationship between spare parts consumption and influencing factors accurately in the prediction process. The resons are listed as the randomness, diversity, time-varying and insufficient information of spare parts demand. The theories has been developed rapidly when dealing with uncertainty based on the Intelligent computing and tools. It was summarized about relevant literature on handling the uncertainty of spare parts demand prediction, according to the four categories of uncertainty, namely, randomness, fuzziness, incompleteness and compound uncertainty. It was summarized about the limitations and development direction of relevant research. The research results can be used to serve as references for equipment spare parts management.