云制造环境下的导向辊制造服务组合优化方法

Service Composition Optimization Method of Guide Roller in Cloud Manufacturing Environment

关键词:  云制造  导向辊  组合优化  造纸类机械  改进NSGA-Ⅱ

Key Words:cloud manufacturing  guide roller  composition optimization  papermaking machinery  improved NSGA-Ⅱ

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。

Abstract:To enhance the production efficiency of guide rollers in cloud manufacturing environment， this study proposed a service composition optimization method for guide roller manufacturing based on an improved NSGA-Ⅱ algorithm. 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 optimization was formulated. Finally， improvements to the NSGA-Ⅱ algorithm 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 optimization 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.