Name
Abstract | ||
|---|---|---|
Distribution centers, which are essential to our society, are becoming increasingly important. Although the efficiency of an AVS/RS (Autonomous vehicle storage and retrieval system) makes it a promising system, there is still much to be studied regarding its effective use and design. This paper proposes a method of designing AVS/RSs through a quantitative consideration of group constraint by utilizing probability theory. The proposed algorithm also deals with the problem of designing the sizes of several buffers, and considers the effect of load fluctuations, which are important for real-world operation, by use of queuing network theory. Effectiveness of the proposed algorithm is shown with simulations of various number of groups, those of various safety factors for fluctuations, and those of various evasion rates for buffer overflow. The design results are shown to be much different from those which do not consider those factors. The results prove that the proposed method provides an accurate quantitative assessment of the AVS/RS's constraints. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1080/01691864.2016.1222916 | ADVANCED ROBOTICS |
Keywords | Field | DocType |
Robotics for manufacturing,optimization,warehouse design,AVS,RSs,queuing theory | Queuing network,Real-time computing,Control engineering,Queueing theory,Engineering,Probability theory,RSS,Distributed computing,Buffer overflow | Journal |
Volume | Issue | ISSN |
30.0 | 22 | 0169-1864 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Motoyuki Ozaki | 1 | 1 | 0.72 |
| Toshimitsu Higashi | 2 | 18 | 6.33 |
| Taiki Ogata | 3 | 20 | 14.76 |
| Tatsunori Hara | 4 | 31 | 6.24 |
| Jose Ildefonso U. Rubrico | 5 | 10 | 3.84 |
| Jun Ota | 6 | 527 | 109.77 |