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作 者:朱浪泽 刘善慧 曹杨振 杨红恩 王远洋 ZHU Langze;LIU Shanhui;CAO Yangzhen;YANG Hongen;WANG Yuanyang(Faculty of Printing,Packaging Engineering and Digital Media Technology,Xi’an University of Technology,Xi’an,Shaanxi Province,710048)
机构地区:[1]西安理工大学印刷包装与数字媒体学院,陕西西安710048
出 处:《中国造纸》2025年第3期152-160,共9页China Pulp & Paper
基 金:国家重点研发计划项目(2023YFB3308800);渭南市重点研发计划项目(2024ZDYFJH-767)。
摘 要:为改善云制造环境下导向辊的生产效率,本研究提出了一种基于改进NSGA-Ⅱ算法的导向辊制造服务组合优化方法。首先,分析导向辊组成及生产工艺,确定所需制造资源服务,从服务质量指标与柔性指标2方面,建立制造服务组合评价指标体系;其次,将双层规划思想引入制造服务组合优化领域,构建导向辊制造组合优化数学模型;最后,从种群初始化与遗传操作2方面,改进NSGA-Ⅱ算法,用以求解模型;通过2组实验,系统验证了所提方法相较于传统优化方法的性能优势。结果表明,本研究方法在种群多样性指标与收敛速度上均有较大提高,显著提升了导向辊制造服务组合优化问题的求解效率。To enhance the production efficiency of guide rollers in cloud manufacturing environment,this study proposed a service composition op-timization method for guide roller manufacturing based on an improved NSGA-Ⅱalgorithm.First,the composition and production processes of guide rollers were analyzed to identify required manufacturing resource services.An evaluation index system for manufacturing service composition was established based on quality-of-service(QoS)metrics and flexibility indicators.Second,the bi-level programming concept was introduced into the field of manufacturing service composition optimization,and a mathematical model for guide roller manufacturing service composition optimiza-tion was formulated.Finally,improvements to the NSGA-Ⅱalgorithm were implemented from two aspects:population initialization and genetic operations,to solve the model.The performance advantages of the proposed method were systematically verified compared with traditional optimi-zation methods by two sets of experiments.The results showed that the proposed method greatly improved the population diversity and convergence speed,and significantly improved the solving efficiency of the service composition optimization problem of guide roller manufacturing.
关 键 词:云制造 导向辊 组合优化 造纸类机械 改进NSGA-Ⅱ
分 类 号:TS73[轻工技术与工程—制浆造纸工程]
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