Ajou University repository

Efficient Fab facility layout with spine structure using genetic algorithm under various material-handling considerations
Citations

SCOPUS

6

Citation Export

Publication Year
2022-01-01
Publisher
Taylor and Francis Ltd.
Citation
International Journal of Production Research, Vol.60, pp.2816-2829
Keyword
AMHSFabricationgenetic algorithm (GA)semiconductor manufacturingspine structure layouttraffic congestion
Mesh Keyword
Automated material handling systemsDetermination methodsFitness functionsIndustrial fieldsMaterial handlingNumerical experimentsOperational efficienciesSemiconductor manufacturing
All Science Classification Codes (ASJC)
Strategy and ManagementManagement Science and Operations ResearchIndustrial and Manufacturing Engineering
Abstract
The Fabrication (Fab) layout design is a strategic issue and has a significant impact on the operational efficiency of semiconductor manufacturing. This research work was motivated by the actual problem to analyse and disperse the congested material flows of central corridor caused by an automated material-handling system (AMHS) in the spine-structure Fab of S Electronics in Korea, which is currently in mass production. In this paper, we suggest an efficient Fab facility layout determination method using genetic algorithm, while considering the interrelationship between manufacturing processors and AMHS. Specifically, we devise a special fitness function employing traffic congestion penalty for reverse and cross-material flows in addition to the usual material-handling distance. By using numerical experiments, we show the superiority of the suggested approach for reducing the overall distance of congested material handling by decreasing the reverse and cross-flows, which cause traffic congestions in the central corridor and entire Fab as well. We expect that this method is expected to be helpful in solving the Fab process layout problems at the Fab planning stage in the actual industrial field.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31973
DOI
https://doi.org/10.1080/00207543.2021.1904159
Fulltext

Type
Article
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Choi, Jin Young Image
Choi, Jin Young최진영
Department of Industrial Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.