Production prediction method for flexible manufacturing system

By constructing a production forecasting method for flexible manufacturing systems, the problem of production forecasting caused by uncertainties in product variety, process, tooling, and scheduling strategies has been solved, achieving accurate production forecasting and resource optimization, and improving the production management efficiency of flexible manufacturing systems.

CN121525944APending Publication Date: 2026-02-13NING XIA JU NENG ROBOTICS CO LTD
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Patent Information

Application Number
CN202511615384.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-06
Publication Date
2026-02-13

AI Technical Summary

Technical Problem

Existing technologies are insufficient to effectively address the challenges of production forecasting in flexible manufacturing systems caused by uncertainties in product variety, processes, tooling, and scheduling strategies, which impacts the efficiency of production planning adjustments and resource allocation.

Method used

By setting algorithmic premises and scheduling strategies, a core element model is constructed, and a full-process production simulation prediction is performed. Multi-dimensional prediction results such as work order completion time and material preparation list are output, which can be adapted to flexible manufacturing systems of different scales.

Benefits of technology

It enables accurate production forecasting, provides reliable data support for production plan adjustments, avoids resource shortages or excessive reserves, optimizes equipment configuration, and improves production management efficiency.

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Abstract

The invention discloses a production prediction method for a flexible manufacturing system. The production prediction method comprises the steps of 1, setting algorithm preconditions and scheduling strategy requirements, 2, constructing a core element model, and 3, executing production whole-process simulation prediction. The method effectively solves the problem of production prediction of a flexible manufacturing system caused by uncertainty of varieties, processes and cutters and influence of a scheduling strategy, can simulate the whole production processing process, outputs multi-dimensional results such as work order completion time, a blank and cutter preparation list, a production Gantt chart, a production trend chart and an equipment starting rate, and improves the production efficiency. And reliable data support is provided for a user to adjust a production plan and configure resources.
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