Abstract: To solve the problem of Integrated Energy Systems (IES) that are difficult to operate in a coordinated manner in terms of quantity and quality and require a long solution time, this paper proposes a multi-objective optimization scheduling method for the electricity-gas-heat integrated energy system that takes into account exergy efficiency. Firstly, this paper constructs a model of IES and combines the first and second laws of thermodynamics to derive exergy equations for the source and load sides of different energy networks in the IES and expressions for exergy efficiency. Secondly, to reduce the solving time, a multi-objective function solving and decision-making method based on the linear weight method was proposed. Finally, the case study verified the proposed model and method's effectiveness. The case study results show that compared to the optimization problem of traditional IES, the multi-objective function considering exergy efficiency in the model ensures the transmission of energy quality, promotes the collaborative operation of IES in terms of quantity and quality, and the solution method proposed in this paper reduces the solution time by 90.22% compared to the traversal weight method.