A fuzzy clustering application in a cellular manufacturing system

被引：0
|
作者：
Behret, Huelya [1 ]
Kahraman, Cengiz [1 ]
机构：
[1] Istanbul Tech Univ, Dept Ind Engn, TR-34367 Istanbul, Turkey
来源：
COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL | 2008年 / 1卷
关键词：
D O I：
10.1142/9789812799470_0183
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a fuzzy c-means (FCM) based cell formation (CF) algorithm is used to design cellular manufacturing in a tractor manufacturing firm. In cell formation problems as the size of the part-machine matrix increases the problem gets complicated. Fuzzy models are suitable for CF problems by allowing the representation of uncertain information. FCM based algorithms seem to be efficient for cell formation problems at cellular manufacturing design.
引用
收藏
页码：1117 / 1122
页数：6
相关论文
共 50 条
  • [41] Scheduling in a manufacturing cellular system
    Ribeiro, JFF
    SYSTEM STRUCTURE AND CONTROL 2001, VOLS 1 AND 2, 2001, : 657 - 661
  • [42] SCHEDULING IN A CELLULAR MANUFACTURING SYSTEM
    SUNDARAM, RM
    FU, SS
    COMPUTERS & INDUSTRIAL ENGINEERING, 1988, 15 : 290 - 295
  • [43] A grey-based clustering algorithm and its application on fuzzy system design
    Wong, CC
    Lai, HR
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2003, 34 (04) : 269 - 281
  • [44] Application of rough set algorithm based on fuzzy clustering in flotation process system
    Zhang, Yong
    Wang, Li
    Wang, Jiesheng
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 5887 - +
  • [45] Fuzzy clustering optimized with genetic algorithms: Application for hybrid speech recognition system
    Lazli, Lilia
    Boukadoum, Mounir
    Mohamed, Otmane Ait
    2017 4TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2017, : 567 - 572
  • [46] Integration of variable precision rough set and fuzzy clustering: An application to knowledge acquisition for manufacturing process planning
    Wang, ZH
    Shao, XY
    Zhang, GJ
    Zhu, HP
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS, 2005, 3642 : 585 - 593
  • [47] Improved Fuzzy Clustering Algorithm and Its Application in Document Clustering
    Liu Yiming
    Yao Min
    Zheng Xiaoliang
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS A-C, 2008, : 2366 - 2370
  • [48] Application of Fuzzy Logic Controller for Machine Load Balancing in Discrete Manufacturing System
    Klosowski, Grzegorz
    Gola, Arkadiusz
    Swic, Antoni
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2015, 2015, 9375 : 256 - 263
  • [49] Fuzzy part family formation for cellular manufacturing systems
    Sangwan, KS
    Kodali, R
    PRODUCTION PLANNING & CONTROL, 2004, 15 (03) : 292 - 302
  • [50] On system identification via fuzzy clustering for fuzzy modeling
    Lee, HS
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 1956 - 1961
12345