Abstract
In this study, we propose a decentralized optimization method for production scheduling, transportation routing for AGVs and motion planning for material handling robots simultaneously. The System consists of a process agent that creates production schedule, AGV agents to generate collision-free routing for multiple AGVs, and a handling agent that determines motion planning for material handling system. Each agent repeats the înforrnation exchange and replanning until a feasible solution is derived. The effectiveness of the proposed method is confirmed by comparing the results of the proposed method and those of the conventional method. Experimental study demonstrates the feasibility of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 559-575 |
| Number of pages | 17 |
| Journal | International Journal of Innovative Computing, Information and Control |
| Volume | 4 |
| Issue number | 3 |
| Publication status | Published - Mar 2008 |
| Externally published | Yes |
Keywords
- Automated guided vehicle
- Experimental study
- FMS
- Scheduling
- Simultaneous optimization
- Transportation
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Information Systems
- Computational Theory and Mathematics