Aimed to address the multi-objective scheduling problem in printing workshops,a hybrid optimization algorithm combining Particle Swarm Optimization(PSO),Genetic Algorithm(GA),and Simulated Annealing(SA)was by proposed...Aimed to address the multi-objective scheduling problem in printing workshops,a hybrid optimization algorithm combining Particle Swarm Optimization(PSO),Genetic Algorithm(GA),and Simulated Annealing(SA)was by proposed which called PGA-PSO-SA(Parallel Genetic Algorithm-Particle Swarm Optimization-Simulated Annealing).Firstly,PSO algorithm was used for global search to quickly find the initial solution.Then,GA optimization selection and crossover operations were used to enhance population diversity.Then,SA algorithm was employed for local search to further improve the solution quality.Experimental results showed that this method achieves better results in terms of job completion time,energy consumption,and machine load distribution.Compared to single algorithms,PGA-PSO-SA hybrid algorithm can more effectively find the global optimal solution,enhancing the overall performance of the scheduling scheme.The research results provides new ideas and methods for scheduling optimization in printing workshops.展开更多
企业资源计划(ERP)系统是企业精益生产不可或缺的工具。本研究针对当前印刷ERP以物料清单BOM(Bill of Material)为核心的数据表征方式,分析其在多产品混合生产状态下的问题,指出传统印刷ERP需要改进的方向。并提出使用复合树(Polytree)...企业资源计划(ERP)系统是企业精益生产不可或缺的工具。本研究针对当前印刷ERP以物料清单BOM(Bill of Material)为核心的数据表征方式,分析其在多产品混合生产状态下的问题,指出传统印刷ERP需要改进的方向。并提出使用复合树(Polytree)替代常规树(Tree)结构的数据组织方法;以产品部件为基础,用生产工序的线形特征组织生产逻辑;基于E-R数据模型,呈现产品部件关联生产过程的数据流转模式。该模式改善了以印前、印刷、印后为模块的生产描述方式,并面向生产逻辑对生产过程表述的灵活性进行了重塑。本研究模式着重解决了传统印刷ERP中阻碍生产流程全面自动化的问题,已经在多家企业成功应用。展开更多
文摘Aimed to address the multi-objective scheduling problem in printing workshops,a hybrid optimization algorithm combining Particle Swarm Optimization(PSO),Genetic Algorithm(GA),and Simulated Annealing(SA)was by proposed which called PGA-PSO-SA(Parallel Genetic Algorithm-Particle Swarm Optimization-Simulated Annealing).Firstly,PSO algorithm was used for global search to quickly find the initial solution.Then,GA optimization selection and crossover operations were used to enhance population diversity.Then,SA algorithm was employed for local search to further improve the solution quality.Experimental results showed that this method achieves better results in terms of job completion time,energy consumption,and machine load distribution.Compared to single algorithms,PGA-PSO-SA hybrid algorithm can more effectively find the global optimal solution,enhancing the overall performance of the scheduling scheme.The research results provides new ideas and methods for scheduling optimization in printing workshops.
文摘企业资源计划(ERP)系统是企业精益生产不可或缺的工具。本研究针对当前印刷ERP以物料清单BOM(Bill of Material)为核心的数据表征方式,分析其在多产品混合生产状态下的问题,指出传统印刷ERP需要改进的方向。并提出使用复合树(Polytree)替代常规树(Tree)结构的数据组织方法;以产品部件为基础,用生产工序的线形特征组织生产逻辑;基于E-R数据模型,呈现产品部件关联生产过程的数据流转模式。该模式改善了以印前、印刷、印后为模块的生产描述方式,并面向生产逻辑对生产过程表述的灵活性进行了重塑。本研究模式着重解决了传统印刷ERP中阻碍生产流程全面自动化的问题,已经在多家企业成功应用。
