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...

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Main Authors: Burt, C., Caccetta, Louis
Format: Book Chapter
Published: 2018
Online Access:http://hdl.handle.net/20.500.11937/68235
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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For long-term schedules it is useful to consider both the purchase and salvage of the equipment, since equipment may be superseded, and there is the possibility of used pre-existing equipment.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.
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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