Open Access
| Issue |
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|
|
|---|---|---|
| Article Number | 00038 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/201713900038 | |
| Published online | 05 December 2017 | |
- Riccardo Manzini, Mauro Gamberi. Design and control of an AS/RS. Int J Adv Manuf Technol. 2006,11(28): 766–774. [CrossRef] [Google Scholar]
- Yasukawa, Machiko,Takaki, Masayoshi, et al. A study on slip and fall of stacked cargoes in automated warehouse.Structural and Construction Engineering, 2017, 82(732): 183–192. [CrossRef] [Google Scholar]
- Colla V., Nastasi G., Matarese N., et al. Ga-based solutions comparison for storage strategies optimization for an automated warehouse.Intelligent Systems Design and Applications, 2009. ISDA’09. Ninth International Conference on. IEEE, 2009: 976–981. [Google Scholar]
- Eldemir F., Graves RJ., Malmborg CJ. New cycle time and space estimation models for automated storage and retrieval system conceptualization. International Journal of Production Research, 2004, 42(22):4767–4783. [CrossRef] [Google Scholar]
- Salah B., Janeh O., Noche B., et al. Design and simulation based validation of the control architecture of a stacker crane based on an innovative wire-driven robot. Robotics and Computer-Integrated Manufacturing, 2017, 44: 117–128. [CrossRef] [Google Scholar]
- Kolla S., Michaloski J., Rippey W. Evaluation of component-based reconfigurable machine controllers.Automation Congress, 2002 Proceedings of the 5th Biannual World. IEEE, 2002, 14: 625–630. [CrossRef] [Google Scholar]
- Eldemir F., Graves RJ., Malmborg CJ. A comparison of alternative conceptualizing tools for automated storage and retrieval systems. International journal of production research, 2003, 41(18): 4517–4539. [CrossRef] [Google Scholar]
- Piasecki D. Warehouse Management Systems: Is It Worth the Trouble. World Trade, 2004, 17: 60–69. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.