Performance optimization of reconfigurable manufacturing cell with flexible routing capacity in presence of unreliable machines

Wan Ling Li, Muhammed Hafidz Fazli, Tomohiro Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper is presented an approach of preventive maintenance that improves and enhances downside production efficiencies based on the non-stop maintenance. The approach focuses on reconfiguration and rerouting; besides, to prepare alternative configurations according to different reliability for each machine. In addition reliable probability of machines, there exist critical factors such as intercellular part movement, machine reallocation, machine utilization, part loading/unloading, and alternative routings that affect seriouslyproduction result. The important point that the so-greatperformance of my approach compared to others (e.g.machines are stopped to maintain) would be offset by theadvantages in terms of flexibility and limited use of resources.There are two objectives as follows, to achieve a condition ofnonstop maintenance, and to decrease drop of theperformances. Furthermore, the approach meaningfully notonly enhances production capabilities but also intelligentlyeliminate unexpected events. Finally, the impact of anapproach is illustrated through a small example.

Original languageEnglish
Title of host publicationProceedings - 2011 2nd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2011
Pages218-223
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 - Shenzhen, Guangdong
Duration: 2011 Dec 162011 Dec 18

Other

Other2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011
CityShenzhen, Guangdong
Period11/12/1611/12/18

Fingerprint

Cellular manufacturing
Maintenance
Preventive maintenance
Unloading

Keywords

  • Alternative routings
  • Decision Support
  • Machine Breakdowns
  • Manufacturing cells

ASJC Scopus subject areas

  • Biotechnology
  • Computational Theory and Mathematics
  • Computer Science Applications

Cite this

Li, W. L., Fazli, M. H., & Murata, T. (2011). Performance optimization of reconfigurable manufacturing cell with flexible routing capacity in presence of unreliable machines. In Proceedings - 2011 2nd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2011 (pp. 218-223). [6118605] https://doi.org/10.1109/IBICA.2011.58

Performance optimization of reconfigurable manufacturing cell with flexible routing capacity in presence of unreliable machines. / Li, Wan Ling; Fazli, Muhammed Hafidz; Murata, Tomohiro.

Proceedings - 2011 2nd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2011. 2011. p. 218-223 6118605.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, WL, Fazli, MH & Murata, T 2011, Performance optimization of reconfigurable manufacturing cell with flexible routing capacity in presence of unreliable machines. in Proceedings - 2011 2nd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2011., 6118605, pp. 218-223, 2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011, Shenzhen, Guangdong, 11/12/16. https://doi.org/10.1109/IBICA.2011.58
Li WL, Fazli MH, Murata T. Performance optimization of reconfigurable manufacturing cell with flexible routing capacity in presence of unreliable machines. In Proceedings - 2011 2nd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2011. 2011. p. 218-223. 6118605 https://doi.org/10.1109/IBICA.2011.58
Li, Wan Ling ; Fazli, Muhammed Hafidz ; Murata, Tomohiro. / Performance optimization of reconfigurable manufacturing cell with flexible routing capacity in presence of unreliable machines. Proceedings - 2011 2nd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2011. 2011. pp. 218-223
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