3 results about "Manufacturing process management" patented technology

This application relates to the field of manufacturing process management technology and discloses an AI-driven digital twin real-time scheduling method and system for mixed-flow production. The method collects real-time data streams from the production site, performs layered analysis of equipment operating parameters and material inventory status, and generates equipment fault identification results and inventory status results. Based on these results, it determines disturbances and their impact range; based on the impact range, it identifies affected production tasks and resource shortage requirements; it generates and optimizes reconfigurable paths by combining equipment allocation priority rules, material flow optimization rules, path constraints, and path conflict detection mechanisms; it issues adjustment instructions based on the prioritized execution paths and determines production recovery confirmation results based on execution feedback. This application improves the recovery efficiency and execution stability of mixed-flow manufacturing process management.

The application relates to the technical field of manufacturing process management, in particular to an intelligent scheduling method and system in a media content production process, which comprises the following steps: collecting historical and current editing data in the media content production process, and preprocessing the editing data; constructing an editing time length prediction model by a statistical analysis method and introducing dynamic editing efficiency parameters, a team efficiency synchronization index and an efficiency trend index, calculating the predicted editing processing time length corresponding to each editing task and the predicted completion time of the editing task based on the preprocessed editing data; judging the scheduling constraint conditions and optimization objectives in the media content production process based on the predicted editing processing time length; and performing editing task scheduling calculation based on the scheduling constraint conditions and optimization objectives. The application realizes accurate time length prediction of editing tasks and efficient allocation of resources by fusing the static and dynamic efficiency parameters of editing personnel, team cooperation states and timing constraints.