Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1010-1015 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781467389853 |
| DOIs | |
| Publication status | Published - 2016 Aug 31 |
| Event | 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan Duration: 2016 Jul 10 → 2016 Jul 14 |
Other
| Other | 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 |
|---|---|
| Country/Territory | Japan |
| City | Kumamoto |
| Period | 16/7/10 → 16/7/14 |
Keywords
- Batch splitting
- Cell configuration
- Machine sharing
- Virtual cellular manufacturing system
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition