The present application relates to the technical field of
production line automation, and particularly relates to a production scheduling optimization method and device fusing equipment health degree, which evaluates equipment health degree by real-time collection of
welding production line equipment operation parameters, and quantifies the
process complexity of the to-be-scheduled vehicle model in combination with the
welding process characteristics of the to-be-scheduled vehicle model; then a matching relationship between the equipment and the vehicle model is established by using an adaptability scoring model; finally, optimization matching is performed with the goal of maximizing the overall adaptability, a
dynamic vehicle model-
station production scheduling scheme is generated, and the scheme is updated according to the real-time state in the production process. The scheme matches and optimizes by constructing the adaptability scoring model of the two, so that the production scheduling scheme can dynamically adapt to the actual capacity of the equipment and the
process requirements, thereby improving the rationality of equipment utilization and the stability of the production
rhythm; in combination with the rolling update mechanism, the adaptability of the production
scheduling system to changes is enhanced, and the optimization level of production efficiency and
resource allocation is improved.