Annual maintenance is an important measure in ship maintenance reform and is crucial for enhancing ship operational availability and maintaining technical conditions. Currently, the schedule control of annual maintenance projects still relies on traditional management models, which often result in lengthy maintenance cycles. To improve the traditional methods, this paper introduces coefficients for uncertain factors, process location, time elasticity, and resource utilization, based on the Critical Chain Technology (CCT) theory. A calculation method for the project buffer is established, and a schedule control model for annual maintenance projects based on CCT is constructed. The applicability of the model is verified through a case study of an annual maintenance project. The results show that the application of Critical Chain Technology effectively enhances project management, control, and execution capabilities, while significantly shortening the annual maintenance cycle.

Based on the application of CATIA experience platform in the ship detail design, this article discusses and studies the CATIA Logical to Physical (L2P) modeling and the rapid modeling by using the piping specification. It analyzes the advantages and disadvantages of CATIA L2P modeling in comparison with the traditional modeling method. The application of CATIA 3D experience platform should be promoted in the detail design of the marine engine for the implementation of the design optimization.