Study on process planning system for holonic manufacturing - (Selection of machining sequences and sequences of machining equipment)

被引:2
|
作者
Rais, S [1 ]
Sugimura, N [1 ]
Kokubun, A [1 ]
机构
[1] Univ Osaka Prefecture, Coll Engn, Lab Autonomous Mfg Syst, Osaka 5998531, Japan
关键词
production system; holonic manufacturing system; process planning; machining sequence; machining features; genetic algorithm; dynamic programming;
D O I
10.1299/jsmec.45.527
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
New architectures of manufacturing systems have been proposed aiming at realizing more flexible control structures of manufacturing systems which can cope with dynamic changes in volume and variety of products. They are so called as holonic manufacturing systems, autonomous distributed manufacturing systems, random manufacturing systems and biological manufacturing systems. The objective of the present research is to develop an integrated process planning and scheduling system which is applicable to the holonic manufacturing systems. In the previous paper, procedures were proposed to recognize the machining features from the product model. A systematic method is proposed, in this paper, to select suitable machining sequences and sequences of machining equipment, by applying the genetic algorithm (GA) and the dynamic programming (DP) methods.
引用
收藏
页码:527 / 533
页数:7
相关论文
共 50 条
  • [1] A Manufacturing Feature Extraction System in Machining Process Planning
    Takahashi, Keita
    Litou, Hendry
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2014, 14 (03): : 25 - 33
  • [2] Planning and Sequencing Heuristics for Feature-Based Control of Holonic Machining Equipment
    Junho Shin
    Hyunbo Cho
    [J]. International Journal of Flexible Manufacturing Systems, 2001, 13 : 49 - 70
  • [3] Planning and sequencing heuristics for feature-based control of holonic machining equipment
    Shin, J
    Cho, H
    [J]. INTERNATIONAL JOURNAL OF FLEXIBLE MANUFACTURING SYSTEMS, 2001, 13 (01): : 49 - 70
  • [4] Integrated process planning and scheduling in holonic manufacturing systems - Optimization based on shop time and machining cost
    Sugimura, N
    Shrestha, R
    Inoue, J
    [J]. PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON ASSEMBLY AND TASK PLANNING (ISATP2003), 2003, : 36 - 41
  • [5] Research on selection strategy of machining equipment in cloud manufacturing
    Wang, Shi-long
    Guo, Liang
    Kang, Ling
    Li, Chang-song
    Li, Xiao-yong
    Stephane, Yossanguem Madjinoudji
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 71 (9-12): : 1549 - 1563
  • [6] Research on selection strategy of machining equipment in cloud manufacturing
    Shi-long Wang
    Liang Guo
    Ling Kang
    Chang-song Li
    Xiao-yong Li
    Yossanguem Madjinoudji Stephane
    [J]. The International Journal of Advanced Manufacturing Technology, 2014, 71 : 1549 - 1563
  • [7] Production process planning in Additive manufacturing and conventional machining technology manufacturing system
    Kellner, Tomas
    Kyncl, Jiri
    Pitrmuc, Zdenek
    Beranek, Libor
    Kanak, Michal
    Kyncl, Martin
    [J]. Manufacturing Technology, 2019, 19 (02): : 232 - 237
  • [8] Research on online process planning for CNC machining in holonic control architecture
    Lin, Xiankun
    Li, Aiping
    Zhang, Weimin
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 7934 - +
  • [9] Automated post machining process planning for a new hybrid manufacturing method of additive manufacturing and rapid machining
    Chen, Niechen
    Barnawal, Prashant
    Frank, Matthew Charles
    [J]. RAPID PROTOTYPING JOURNAL, 2018, 24 (07) : 1077 - 1090
  • [10] Optimal tool selection for pocket machining in process planning
    Kyoung, YM
    Cho, KK
    Jun, CS
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 1997, 33 (3-4) : 505 - 508