Study on modeling of distributed manufacturing execution systems based on Grid computing technology

被引:0
|
作者
Guo, Lihua [1 ]
Tang, Wencheng [1 ]
Li, Fang [1 ]
机构
[1] Southeast Univ, Sch Mech Engn, Nanjing 211189, Peoples R China
关键词
Manufacturing Execution System; Grid Computing; Hierarchical Architecture; Function Model;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
At present, manufacturing execution systems (MES) suffer some limits and difficulties. For example, it is difficult to realize the heterogeneous resources sharing and data collection because the optimization methods relying on a fixed and rigid plant model are already not fit to the dynamic workshop environment. Therefore, the present MES are not genuine real-time systems. The development of Grid computing provides solutions to the special requirements of MES. By integrating all the geographically distributed resources into a titanic supercomputer, it can realize the fully resources sharing such as computing power, storage, data, information, knowledge, expertise and equipment. In this case, the problems such as information sharing, information real-time transmission, heterogeneous resources sharing could be solved by the inherent distributed solution of Grid computing. This paper first analyzes the necessity and feasibility of applying Grid computing into MES, and then establishes the hierarchical architecture and function model of distributed MES based on Grid. The successful implementation of MES based on Grid makes the workshop vitrification, decreases overstocking products, and eliminates unqualified products entering the next procedure, which enable the enterprise to finish product orders better and faster, reduce the product cost, and improve product quality.
引用
收藏
页码:496 / 501
页数:6
相关论文
共 50 条
  • [31] Review of Grid Computing Technology in Electrical Power Systems
    Amulya
    Kulkarni, P. S.
    2016 INTERNATIONAL CONFERENCE ON ELECTRICAL POWER AND ENERGY SYSTEMS (ICEPES), 2016, : 487 - 491
  • [32] A mobile agent-based statistic execution model for grid computing
    Qu, Wenyu
    Li, Keqiu
    Zhang, Yong
    ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS, 2008, 5036 : 71 - +
  • [33] A taxonomy and survey of grid resource management systems for distributed computing
    Krauter, K
    Buyya, R
    Maheswaran, M
    SOFTWARE-PRACTICE & EXPERIENCE, 2002, 32 (02): : 135 - 164
  • [34] Editorial message: Special track on distributed systems and grid computing
    Van, Engelen, Robert
    Koziris, Nectarios
    Govindaraju, Madhu
    Psarris, Kleanthis
    Proceedings of the ACM Symposium on Applied Computing, 2006, 1 : 739 - 740
  • [35] Special Issue on Intelligent Systems for Distributed Cloud and Grid Computing
    Messina, Fabrizio
    Mikkilineni, Rao
    Morana, Giovanni
    INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING, 2016, 7 (02) : 75 - 79
  • [36] Implementations of grid-based distributed parallel computing
    Lin, Weiwei
    Gu, Changgeng
    Qi, Deyu
    Chen, Yuehong
    Zhang Zhilil
    FIRST INTERNATIONAL MULTI-SYMPOSIUMS ON COMPUTER AND COMPUTATIONAL SCIENCES (IMSCCS 2006), PROCEEDINGS, VOL 1, 2006, : 312 - +
  • [37] A distributed backup agent based on grid computing architecture
    Lee, HM
    Yang, CH
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2005, 3682 : 1252 - 1257
  • [38] Study on Computing Grid Distributed Middleware and Its Application
    Luo, Shengxian
    Peng, Xiaochuan
    Fan, Shengbo
    Zhang, Peiyu
    2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 3, PROCEEDINGS, 2009, : 441 - 445
  • [39] Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems
    Goudarzi, Shidrokh
    Soleymani, Seyed Ahmad
    Anisi, Mohammad Hossein
    Jindal, Anish
    Dinmohammadi, Fateme
    Xiao, Pei
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 70 (01) : 1471 - 1481
  • [40] Optimisation to the execution performance of grid job based on distributed file system
    Hu, Liang D.
    Lin, Lin
    Zhao, Jia
    Che, Xilong
    Wei, Xiaohui
    INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS, 2012, 27 (02) : 109 - 121