This invention provides a method,
system, and device for dynamic material pull control in an intelligent workshop, relating to the field of intelligent
manufacturing technology. The method includes: First, by acquiring the basic inventory buffer, equipment topology diagram, production scheduling characteristics, real-time production data, and material inbound rate of the intelligent workshop, and combining a multimodal prediction model to extract time-
series production characteristics, equipment topology characteristics, and production scheduling characteristics, the predicted
material consumption rate is output, improving prediction accuracy. Second, by combining the prediction results with equipment operating parameters, real-time
inventory level and dynamic replenishment threshold are calculated to dynamically adapt to production fluctuations and equipment failure risks, avoiding inventory backlog or material shortages and shutdowns caused by traditional static inventory levels. Finally, if the real-time
inventory level is lower than the dynamic replenishment threshold, a minimum
delay path objective function is constructed based on material transportation parameters to generate the optimal path, and the
automated guided vehicle is controlled to perform replenishment, ensuring timely replenishment, improving inventory turnover, and enhancing the lean
management level of workshop materials.