Process Planning Model Considering Quality Defect Propagation

Process planning plays a guiding role in the construction of intelligent manufacturing systems. However, most current research on process planning focuses solely on optimizing processing time, neglecting how the selection of different processing machines and routes simultaneously affects product qualification rates, thereby influencing expected revenue. This paper categorizes product quality during processing into multiple states and constructs a process planning model that considers the propagation of quality defects. By integrating processing time and product qualification rate, the model aims to identify the processing scheme that maximizes expected revenue. The model introduces an infectious disease model to simulate the propagation of quality defects in the manufacturing process, while accounting for the influence of processing machines and operation sequences on product qualification rates. Based on this, the model adopts a weighted objective function of processing time and product qualification rate to derive the optimal processing scheme with the highest expected revenue. Experimental results indicate that, compared to traditional models that only consider processing time, the proposed model significantly improves the product pass rate and achieves higher expected revenue per unit time in the simulation case, thereby validating its effectiveness and practicality.