Placement Time Optimization of Chip Mounter System by Genetic Algorithms. Application to Parts Feeder Distribution Problem.

Accession number;01A1026228
Title;Placement Time Optimization of Chip Mounter System by Genetic Algorithms. Application to Parts Feeder Distribution Problem.
Author; MIYAJIMA TAKASHI (Ind. Res. Inst. of Nagano) KOSUGI TAKASHI (Ind. Res. Inst. of Nagano) NAKAMURA MASAYUKI (Shinshu Univ., Fac. of Eng.) KOBAYASHI MITSUYUKI (Shinshu Univ., Fac. of Eng.)
Journal Title;Naganoken Kogyo Shikenjo Kenkyu Hokoku
Journal Code:Y0010A
ISSN:0913-672X
VOL.;NO.21;PAGE.51-58(2001)
Figure&Table&Reference;FIG.8, TBL.10, REF.8
Pub. Country;Japan
Language;Japanese
Abstract;This paper presents a placement time optimization method of chip mounter system. Placement time changes greatly by the performance of the chip mounter and the configuration of the system. The problem is how to distribute parts and parts feeders to each chip mounter. We propose a distributing method using GA which can be applicable to the various systems. Several numerical experiments about some systems composed of more than one chip mounter with different performance were done. It confirmed that our proposed method had usefulness more than conventional method through the results of numerical experiment. Furthermore, practical examples to the produced utility system are shown. (author abst.)