Effectively handling three-dimensional spaces for container loading
| dc.contributor.author | Liu, Jiamin | en_GB |
| dc.contributor.author | Zhang, Xiaorui | en_GB |
| dc.contributor.author | Yue, Yong | en_GB |
| dc.contributor.author | Maple, Carsten | en_GB |
| dc.date.accessioned | 2013-03-15T11:41:50Z | |
| dc.date.available | 2013-03-15T11:41:50Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | Liu, J., Zhang, X., Yue, Y., Maple, C., (2012) 'Effectively handling three-dimensional spaces for container loading' 2012 International Conference on Numerical Analysis and Applied Mathematics, Kos, Greece, 19-25 September 2012 | en_GB |
| dc.identifier.isbn | 9780735410916 | |
| dc.identifier.doi | 10.1063/1.4756569 | |
| dc.identifier.uri | http://hdl.handle.net/10547/272954 | |
| dc.description.abstract | To improve space utilization, the method for handling spaces plays an important role in the container loading problem. This paper deals with loading a set of cuboid items into a single container to maximize the utilization of the space. Six space partitions are presented and a set of rules for merging spaces is proposed. Through experimentation, using a benchmark data set, the influence of partitioning and merging are analyzed. The experimental results show that partitioning and merging in which all loaded boxes have one hundred percent support from below can produce good space utilization. | |
| dc.language.iso | en | en |
| dc.publisher | American Institute of Physics | en_GB |
| dc.relation.url | http://link.aip.org/link/APCPCS/v1479/i1/p1960/s1&Agg=doi | en_GB |
| dc.subject | space utilization | en_GB |
| dc.title | Effectively handling three-dimensional spaces for container loading | en |
| dc.type | Conference papers, meetings and proceedings | en |
| dc.contributor.department | Shenyang University of Technology | en_GB |
| dc.contributor.department | University of Bedfordshire | en_GB |
| html.description.abstract | To improve space utilization, the method for handling spaces plays an important role in the container loading problem. This paper deals with loading a set of cuboid items into a single container to maximize the utilization of the space. Six space partitions are presented and a set of rules for merging spaces is proposed. Through experimentation, using a benchmark data set, the influence of partitioning and merging are analyzed. The experimental results show that partitioning and merging in which all loaded boxes have one hundred percent support from below can produce good space utilization. |