Multiple locations equipment selection
© 2018, Springer International Publishing AG. In this chapter we consider a multi-location mining operation. An important characteristic for multi-location (multi-location and multi-dumpsite) mines is that the underlying problem is a multi-commodity flow problem. The problem is therefore at least as...
| Main Authors: | , |
|---|---|
| Format: | Book Chapter |
| Published: |
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/68235 |
| _version_ | 1848761779001229312 |
|---|---|
| author | Burt, C. Caccetta, Louis |
| author_facet | Burt, C. Caccetta, Louis |
| author_sort | Burt, C. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018, Springer International Publishing AG. In this chapter we consider a multi-location mining operation. An important characteristic for multi-location (multi-location and multi-dumpsite) mines is that the underlying problem is a multi-commodity flow problem. The problem is therefore at least as difficult as the fixed-charge, capacitated multi-commodity flow problem. For long-term schedules it is useful to consider both the purchase and salvage of the equipment, since equipment may be superseded, and there is the possibility of used pre-existing equipment. This may also lead to heterogeneous fleets and arising compatibility considerations. In this chapter, we consider two case studies provided by our industry partner. We develop a large-scale mixed-integer linear programming model for heterogeneous equipment selection in a surface mine with multiple locations and a multiple period schedule. Encoded in the solution is an allocation scheme in addition to a purchase and salvage policy. We develop a solution approach, including variable preprocessing, to tackle this large-scale problem. We illustrate the computational effectiveness of the resulting model on the two case studies for large sets of equipment and long-term schedule scenarios. |
| first_indexed | 2025-11-14T10:37:05Z |
| format | Book Chapter |
| id | curtin-20.500.11937-68235 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:37:05Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-682352018-05-18T08:07:30Z Multiple locations equipment selection Burt, C. Caccetta, Louis © 2018, Springer International Publishing AG. In this chapter we consider a multi-location mining operation. An important characteristic for multi-location (multi-location and multi-dumpsite) mines is that the underlying problem is a multi-commodity flow problem. The problem is therefore at least as difficult as the fixed-charge, capacitated multi-commodity flow problem. For long-term schedules it is useful to consider both the purchase and salvage of the equipment, since equipment may be superseded, and there is the possibility of used pre-existing equipment. This may also lead to heterogeneous fleets and arising compatibility considerations. In this chapter, we consider two case studies provided by our industry partner. We develop a large-scale mixed-integer linear programming model for heterogeneous equipment selection in a surface mine with multiple locations and a multiple period schedule. Encoded in the solution is an allocation scheme in addition to a purchase and salvage policy. We develop a solution approach, including variable preprocessing, to tackle this large-scale problem. We illustrate the computational effectiveness of the resulting model on the two case studies for large sets of equipment and long-term schedule scenarios. 2018 Book Chapter http://hdl.handle.net/20.500.11937/68235 10.1007/978-3-319-76255-5_7 restricted |
| spellingShingle | Burt, C. Caccetta, Louis Multiple locations equipment selection |
| title | Multiple locations equipment selection |
| title_full | Multiple locations equipment selection |
| title_fullStr | Multiple locations equipment selection |
| title_full_unstemmed | Multiple locations equipment selection |
| title_short | Multiple locations equipment selection |
| title_sort | multiple locations equipment selection |
| url | http://hdl.handle.net/20.500.11937/68235 |