抄録
Virtual Cellular Manufacturing system (VCMs) is investigated as an alternative approach to implement cellular manufacturing system, which featured in form cells temporary and logical. The configuration of virtual cells is a complex and time consuming NP-hard problem. This paper aims to design an effective methodology to form novel virtual cells and operation take care of allocation of shared machines and batch size of parts. A genetic algorithm is developed in two steps to find a shared machine location and optimal batch size of cell configuration that the whole manufacturing system has minimized total make span. The proposed method was implemented on a case study dataset to examine its feasibility and efficiency by comparing its performance to Cellular Manufacturing system (CMs) and conventional VCMs configuration method.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 |
| 出版社 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 1010-1015 |
| ページ数 | 6 |
| ISBN（電子版） | 9781467389853 |
| DOI | |
| 出版ステータス | Published - 2016 8月 31 |
| イベント | 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan 継続期間: 2016 7月 10 → 2016 7月 14 |
Other
| Other | 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 |
|---|---|
| 国/地域 | Japan |
| City | Kumamoto |
| Period | 16/7/10 → 16/7/14 |
ASJC Scopus subject areas
- 情報システム
- コンピュータ ネットワークおよび通信
- コンピュータ サイエンスの応用
- コンピュータ ビジョンおよびパターン認識