A NEW ALGORITHM FOR MINIMIZING THE SURPLUS PARTS IN SELECTIVE ASSEMBLY

被引:55
|
作者
FANG, XD
ZHANG, Y
机构
[1] Department of Mechanical Engineering, University of Wollongong, Wollongong, NSW 2500
关键词
D O I
10.1016/0360-8352(94)00183-N
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Selective assembly is a normally accepted method for producing high precision assembly from relatively low precision components. The accuracy of selective assembly is mainly based on the number of groups (fixed before and during assembly) and the range of a group (allocated equally on the design tolerance). However, there are often surplus parts in some groups due to the imbalance of mating parts, especially in the cases of undesired dimensional distributions. Aiming at minimising the surplus parts, this paper presents a new algorithm to group the mating parts based on the ideas of balanced probability and unequal tolerance range in each group. The methodology developed in this work provides a feasible means to avoid the unexpected loss of production cost as the surplus parts can be reduced to their minimum.
引用
收藏
页码:341 / 350
页数:10
相关论文
共 50 条
  • [21] Harmony Search Algorithm for Minimizing Assembly Variation in Non-linear Assembly
    Mahalingam, Siva Kumar
    Nagarajan, Lenin
    Salunkhe, Sachin
    Nasr, Emad Abouel
    Davim, Joao Paulo
    Hussein, Hussein M. A.
    APPLIED SCIENCES-BASEL, 2021, 11 (19):
  • [22] A Neural Net-based Assembly Algorithm for Flexible Parts Assembly
    J. Y. Kim
    H. S. Cho
    Journal of Intelligent and Robotic Systems, 2000, 29 : 133 - 160
  • [23] A neural net-based assembly algorithm for flexible parts assembly
    Kim, JY
    Cho, HS
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2000, 29 (02) : 133 - 160
  • [24] A new method in selective assembly to minimize clearance variation for a radial assembly using genetic algorithm
    Kannan, Soma M.
    Asha, A.
    Jayabalan, V.
    Quality Engineering, 2005, 17 (04) : 595 - 607
  • [25] ALGORITHMIC IMPLEMENTATION OF A MULTIPARAMETER SELECTIVE ASSEMBLY OF 2 PARTS
    SUMIN, VV
    PODOBRYANSKII, AV
    KISLITSYN, AB
    VOROBEV, VI
    VOROBEV, AI
    SOVIET JOURNAL OF OPTICAL TECHNOLOGY, 1984, 51 (04): : 223 - 226
  • [26] Grouping method for selective assembly of parts of dissimilar distributions
    Chan, Ka Ching
    Linn, Richard J.
    Quality Engineering, 1998, 11 (02): : 221 - 234
  • [27] An algorithm for minimizing weighted earliness penalty in assembly job shops
    Pathumnakul, Supachai
    Egbelu, Pius J.
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2006, 103 (01) : 230 - 245
  • [28] FASTENERS TACKLE THE NEW NEEDS IN PARTS ASSEMBLY
    SMOLUK, G
    MODERN PLASTICS, 1985, 62 (09): : 93 - 95
  • [29] A flexible parts assembly algorithm based on a visual sensing system
    Kim, JY
    Kang, DJ
    Cho, HS
    PROCEEDINGS OF THE 2001 IEEE INTERNATIONAL SYMPOSIUM ON ASSEMBLY AND TASK PLANNING (ISATP2001): ASSEMBLY AND DISASSEMBLY IN THE TWENTY-FIRST CENTURY, 2001, : 417 - 422
  • [30] An algorithm for the automatic generation of an assembly process for modular fixture parts
    Yamada, Takayoshi
    Funahashi, Yasuyuki
    Yamamoto, Hidehiko
    ARTIFICIAL LIFE AND ROBOTICS, 2009, 14 (02) : 199 - 202