Titlebook: Equipment Selection for Mining: With Case Studies; Christina N. Burt,Louis Caccetta Book 2018 Springer International Publishing AG 2018 Tr

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Methodology: Preliminaries and Backgroundinclude truck cycle time and a number of productivity measures for both trucks and loaders. The match factor, which is defined as the ratio of truck arrival rate to loader service time, is an important productivity indicator for trucks and loaders. The objective of the truck-loader optimisation prob

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Literature Review selection problem in the construction industry. We review the modelling and solution methods that have emerged in both the mining and operations research literature. We also consider a number of closely related problems such as shovel-truck productivity, mining method selection, scheduling, dispatc

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Case Studiesomplex mining operations. To achieve this it is important to have real case studies that reflect the true nature of the problems to be addressed. In this chapter, we provide the data and background for two real case studies, one is a simple senario with one mining location and 9 periods each having

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Single Location Equipment Selectionctive is to determine a purchase and salvage policy for trucks and loaders such that the cost of materials handling is minimized over a multiple period schedule. This problem quickly becomes large scale when we consider large sets of possible trucks and loaders, and long schedules. The inclusion of

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Accurate Costing of Mining Equipmentd. In a surface mine, equipment is often not utilised to full capacity and not accounting for this difference may lead to inferior solutions. Generally, the cost of operating equipment depends on the age of that equipment, while the decision to use a piece of equipment or not is based on the cost. T

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Future Research Directionsimal truck-loader selection strategy for use in large and complex mining operations. We have reviewed the methodology developed over the past 50 years from the early ad hoc spreadsheet approaches to the current highly sophisticated and accurate mathematical based computational models. Our approach h

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