Equipment selection with heterogeneous fleets for multiple-period schedules

In a simple surface mining scenario we consider a mine to have one mining location and dumpsite connected by a truck route. We determine a purchase and salvage policy for trucks and loaders, which minimises the cost of materials handling over a multiple period schedule. This problem becomes large sc...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of the Operational Research Society 2011-08, Vol.62 (8), p.1498-1509
Main Authors: Burt, C, Caccetta, L, Welgama, P, Fouché, L
Format: Article
Language:English
Subjects:
Age
Applied sciences
Business and Management
Case studies
Case-oriented Paper
Case-oriented Papers
Depreciation
Equipment purchasing
equipment selection
Exact sciences and technology
Industrial machinery
Integer programming
Management
Materials handling
Mathematical programming
Metals. Metallurgy
Mines
Mining
Mining industries
Mining industry
Occurences. Deposits. Transportation
Operating costs
Operational research and scientific management
Operational research. Management science
Operations research
Operations Research/Decision Theory
OR in natural resources
Ores
Production of metals
Productivity
Schedules
Studies
Surface mining
Trucking
Trucks
Variables
Vehicle fleets
Waste materials
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In a simple surface mining scenario we consider a mine to have one mining location and dumpsite connected by a truck route. We determine a purchase and salvage policy for trucks and loaders, which minimises the cost of materials handling over a multiple period schedule. This problem becomes large scale when we consider large sets of equipment and long schedules. Pre-existing equipment can lead to heterogeneous fleets; non-uniformity in the operating cost function coupled with compatibility issues also adds to the complexity of the problem. We present an integer programme for this problem, where we introduce a specialised linear constraint set to ensure satisfaction of production requirements while accounting for equipment compatibility. Many aspects of the presented model, such as the consideration of multiple periods and pre-existing equipment, are novel for the mining industry and ensure that the model is both a new and advanced equipment selection tool.
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2010.107