一种离散制造混流生产的人机协同效率优化方法

By constructing a human-machine collaboration efficiency optimization model and a chaotic augmented teaching optimization algorithm, the process allocation and worker operation are optimized, solving the problem of low efficiency in human-machine collaboration in existing technologies and realizing efficient discrete manufacturing mixed-flow production.

CN116739179BActive Publication Date: 2026-07-17HUNAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUNAN UNIV
Filing Date
2023-06-26
Publication Date
2026-07-17

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Abstract

本发明涉及离散制造混流生产技术领域，具体为一种离散制造混流生产的人机协同效率优化方法，包括：1、收集实际离散制造混流生产场景的相关生产数据；2、构建离散制造混流生产的人机协同效率优化模型，设置模型参数、决策变量和约束条件；3、构建混沌增强教学优化算法，并利用混沌增强教学优化算法求解满足约束条件下的人机协同效率优化模型，得到多个决策变量取值，然后从多个决策变量取值中选择完工时间最短的作为最优的决策变量取值并输出。本发明将工人的操作纳入到离散制造混流生产中，通过同时优化各工序的加工机床和操作工人、工序的加工顺序，实现了离散制造生产车间的人机协同优化运行，从而有效提升了离散制造混流生产的效率。
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