A proofing intelligent scheduling method and device, computer equipment and storage medium
By collecting production data and material flow data from the garment sample making workshop, we established process complexity evaluation rules and dynamic capacity parameter models, which solved the problem of insufficient process adaptability in traditional production scheduling systems. This enabled precise resource allocation and production scheduling, improving the rationality and feasibility of production.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU SHUNTIAN YISHANG TECHNOLOGY CO LTD
- Filing Date
- 2026-05-27
- Publication Date
- 2026-07-17
AI Technical Summary
The existing production scheduling system in garment sample making workshops fails to effectively consider individual differences in workers' skill levels, operational proficiency, and process adaptability, resulting in a disconnect between the scheduling plan and actual production capacity, large execution deviations, and poor feasibility.
By collecting process data and material flow data from production equipment, we establish process complexity evaluation rules, construct a dynamically updated capacity parameter model, and combine real-time status data to determine the target resource configuration from candidate resource configurations, thereby generating an accurate production scheduling plan.
This has enabled production scheduling to be more rational, accurate, and feasible, improving the level of workshop production scheduling and ensuring the orderly connection and smooth operation of production processes.
Smart Images
Figure CN122414716A_ABST