Multi-stage product production process decision-making method and system based on dynamic programming

Through sequential probability ratio testing and dynamic programming models, the problems of high testing costs and suboptimal decision-making in the product production process were solved, the global optimal decision-making of the multi-process production process was achieved, and the detection accuracy and enterprise benefits were improved.

CN120688820APending Publication Date: 2025-09-23QINGDAO UNIV OF TECH
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Patent Information

Application Number
CN202510861801.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-25
Publication Date
2025-09-23

AI Technical Summary

Technical Problem

In the existing technology, the sampling inspection scheme of the product production process lacks a dynamic adjustment mechanism, resulting in high inspection costs or insufficiently accurate results. Multi-stage production decisions do not fully consider the correlation between each stage, making it difficult to achieve global optimization. The error handling of defective rate is not perfect, affecting the accuracy of decision-making.

Method used

The sequential probability ratio test method is used to conduct sampling inspections on spare parts, semi-finished products and finished products. The objective function and state transition equation are constructed through the dynamic programming model. Taking into account the correlation between each stage, a dynamic programming model suitable for multi-process production processes is established to determine the optimal production decision plan.

Benefits of technology

Reduce testing costs, improve the accuracy and reliability of test results, achieve global optimal production decisions, and improve enterprise production efficiency and management level.

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Abstract

The invention relates to the technical field of industrial production management, and provides a multi-stage product production process decision-making method and system based on dynamic planning, and the method comprises the steps: carrying out the sampling of spare and accessory parts, semi-finished products and finished products through employing a sequential probability ratio inspection method, determining the defective rate of each stage of products, calculating the mathematical expectation of the defective rate of a confidence interval, and carrying out the calculation of the defective rate. The actual defective rate is obtained; based on the actual defective rate, determining an optimal production decision scheme through a dynamic planning model; wherein the construction step of the dynamic planning model comprises the following steps of: for a multi-process production process, simplifying processes into a plurality of regions through a region division method, constructing an objective function by taking part detection before assembly, semi-finished product detection after assembly, finished product detection after assembly and disqualified semi-finished product and finished product disassembly as decision variables and taking the regions as units, and constructing the dynamic planning model according to the objective function; and deducing a defective rate state transition equation of semi-finished products and finished products. The decision-making problem in multi-process production can be effectively solved, and global optimization is achieved.
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