Abstract: To address the sequential problem of planning the measurement of complex workpieces in in-machine measurement, this paper introduces TPS before the genetic algorithm plans the measurement sequence. A measurement constraint model and an envelope Boolean matrix are established for the test model, and then a genetic algorithm is used to plan the optimal measurement sequence. Compared to the direct use of genetic algorithms, the method proposed in this paper divides the measurement methods of each feature to be measured in advance, and thus achieves a more efficient and optimised measurement sequence on the workpiece as a whole. The method established in this study allows for better planning of in-machine inspection solutions and fast and accurate workpiece measurement tasks, further improving the quality and efficiency of industrial production.