China Mechanical Engineering

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Optimal Deployment of Networked Manufacturing Resources Based on TPS Hierarchical System

LIU Xiaoyang;LIU Enfu;FANG Yixiang;LIU Zhenyu;JIN Jiangyan   

  1. College of Mechanical Engineering,Hebei University of Science and Technology,Shijiazhuang,050018
  • Online:2018-04-10 Published:2018-04-03
  • Supported by:
    National Natural Science Foundation of China(No. 51275234)

基于多色集合理论递阶系统的网络化制造资源优化配置

刘晓阳;刘恩福;方忆湘;刘振宇;靳江艳   

  1. 河北科技大学机械工程学院,石家庄,050018
  • 基金资助:
    国家自然科学基金资助项目(51275234);
    河北省应用基础研究计划资助重点项目(14961811D);
    河北省高等学校科学技术研究项目(QN2017066)
    National Natural Science Foundation of China(No. 51275234)

Abstract: An optimal method of networked manufacturing resources configuration was presented based on TPS hierarchical system. TPS hierarchical system included logical relations layers and logical reasoning layers. Logical relations layers described manufacturing task informations, manufacturing resource informations and their matching relation informations, and a unified mathematical model with TPS was built. Logical reasoning layer completed data calculations and optimizations with TPS fuzzy mathematical models and reasoning mechanism, and rough set hierarchical analysis was used to achieve the manufacturing resources optimization deployments of multi-objective decisions. Finally, the feasibility and effectiveness of the method was verified by a typical case.

Key words: manufacturing resource optimization deployment, hierarchical system, networked manufacturing, theory of polychromatic sets(TPS)

摘要: 面向网络化制造资源优化配置,提出了一种基于多色集合理论(TPS)递阶系统的资源优化配置方法。将TPS递阶系统分为递阶关系层和递阶推理层,递阶关系层对制造任务信息、制造资源信息以及两者的匹配关系信息进行描述,并通过TPS建立统一的数学模型,递阶推理层进行数据计算和优化,借助于多色集合模糊数学模型相关表达和推理机制,利用粗集-层次分析法进行多目标决策的制造资源优化配置。最后,通过实例验证了该方法的可行性与有效性。

关键词: 制造资源优化配置, 递阶系统, 网络化制造, 多色集合理论

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