Abstract: A plurality of component models in a multi-layer composite model are trained using historical production data of a production equipment set. Current production data is input to the composite model; and an adjustment value of a factor is obtained and provided to a piece of equipment. The historical production data includes values of a plurality of factors related to an operating condition within a period of time. An output and input factor of each component model are factors with a parent-child relationship among the plurality of factors. The output factor is a production efficiency index of the production equipment set. In two adjacent layers of the composite model, the output factor of a first layer is the input factor of one or more component models of a second layer. The adjustment value is a value of one or more factors making a predicted value satisfy a condition.