Cebesoy, T., Gozen, M. and Yahsi, S. (1995), A systematic decision making model for optimum surface mining equipment selection, Mine Planning and Equipment Selection 1995, 369377. Kannan, G., Schmitz, L. and Larsen, C. (2000), An industry perspective on the role of equipmentbased earthmoving simulation, In Proceedings of the 2000 Winter
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In the surface mining industry, the Equipment Selection Problem involves choosing an appropriate fleet of trucks and loaders such that the long-term mine plan can be satisfied. 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
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Equipment Selection for Mining-Free ebook download as PDF File (.pdf), Text File (.txt) or read book online for free. Equipment Selection for Mining
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1. The document discusses models for selecting mining equipment, specifically trucks and loaders, to minimize operational costs. 2. It analyzes classical methods like match factor and bunching theory that are commonly used in industry but often oversimplify the problem. More complex optimization models have been explored but typically consider only a small
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Equipment Selection for Mining: With Case Studies | Christina N. Burt,Louis Caccetta (auth.) This unique book presents innovative and state-of-the-art computational models for determining the optimal truck–loader selection and allocation strategy for use in
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Surface Mining Equipment Selection Presentation . × Close Log In Log in with Facebook Log in with Google or Email Password Remember me on this computer or reset password Enter the email address you signed up with and we'll email you a reset link
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Accurate costing in mixed integer utilisation mining models. C. Burt, Yao-ban Chan. Published 2009. Engineering. In this paper, we study the problem of truck and loader equipment selection for surface mines, where we wish to select the best truck and loader fleet for a multi-period mining schedule. In particular, we look at the costing aspect
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This paper provides a critical analysis of the various models for surface mining operations, identifying important constraints and suitable objectives for an equipment selection
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· Equipment Selection for Mining: With Case Studies. January 2018. DOI: 10.1007/978-3-319-76255-5. Authors: Christina Burt. University of Melbourne. Louis Caccetta. Curtin University. To read the
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[5] R.J. Hardy: Selection criteria for loading and hauling equipment – Open pit mining applications. Thesis of Doctor in Philosophy, Western Australian School of Mines, Curtin University of Technology. (2007).
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· One of the challenging problems for surface mining operation optimization is choosing the optimal truck and loader fleet. We refer to this problem as the equipment selection problem ESP. In this paper, we describe the ESP in the context of surface mining and discuss related problems and applications. Within the scope of both the ESP and
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Draft paper December 1, 2014 An MILP approach to Multi-location, Multi-Period Equipment Selection for Surface Mining with Case Studies Christina Burt Department of Computing and Information Systems, University of Melbourne [email protected] Louis
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· Equipment Selection for Mining: With Case Studies (Studies in Systems, Decision and Control, 150) [Burt, Christina N., Caccetta, Louis] on Amazon.com. *FREE* shipping on qualifying offers. Equipment Selection for Mining: With Case Studies (Studies in
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We refer to this problem as the equipment selection problem (ESP). In this paper, we describe the ESP in the context of surface mining and discuss related problems and applications. Within the scope of both the ESP and related problems, we outline modeling and solution approaches. Using operations research literature as a guide, we conclude by
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:Mining Equipment SelectionSurface Mining Equipment1. The document discusses models for selecting mining equipment, specifically trucks and loaders, to minimize operational costs. 2. Current methods for equipment selection
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C Burt & L Caccetta & P Welgama & L Fouché, 2011. "Equipment selection with heterogeneous fleets for multiple-period schedules," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(8), pages 1498-1509, August.
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· 2 Accurate Costing in a Non-utilisation Model. Firstly, we show how we can produce accurate costing in a non-utilisation model. In such a model, we assume that the number of hours that a piece of equipment works in any time period (given its equipment type, age, and the operating hours of the mine) is pre-determined.
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Abstract. In this chapter, we present a detailed literature review of the equipment selection problem in surface mining as well as the closely related equipment selection problem in the construction industry. We review the modelling and solution methods that have emerged in both the mining and operations research literature.
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Draft paper June 24, 2013 An MILP approach to Multi-location, Multi-Period Equipment Selection for Surface Mining with Case Studies Christina Burt Department of Computing and Information Systems, University of Melbourne [email protected] Louis Caccetta
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· In the surface mining industry, the Equipment Selection Problem involves choosing an appropriate fleet of trucks and loaders such that the long-term mine plan can be satisfied. 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
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Equipment Selection for Mining: With Case Studies March 2018 March 2018 Read More Authors: Christina N. Burt, Louis Caccetta Publisher: Springer Publishing Company, Incorporated ISBN: 978-3-319-76254-8 Published: 03 March 2018 Pages: 155 Save to
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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. In a simple surface mining scenario we consider a mine to have one mining location and dumpsite connected by a truck route.
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Models for Mining Equipment Selection-Docstoc 30 Mar 2012 Models for Mining Equipment Selection 1 Burt, C., 1Caccetta, L., 1Hill, S. and 2Welgama, P. 1 Equipment Selection for Mining: With Case Studies
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In surface mining applications, the ESP addresses the selection of equipment to extract and haul mined mate-rial, including both waste and ore, over the lifetime of the mining
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Equipment Selection for Mining: With Case Studies: 150 [Burt, Christina N., Caccetta, Louis] versatile and robust computational models in order to refine their equipment selection and allocation strategy. As materials handling costs represent a significant
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This unique book presents innovative and state-of-the-art computational models for determining the optimal truck–loader selection and allocation strategy for use in large and complex mining operations. The authors provide comprehensive information on the methodology that has been developed over the past 50 years, from the early ad hoc
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:Mining Equipment SelectionSurface Mining EquipmentModels for Mining Equipment Selection. Caccetta, Welgama. Published 2005. Engineering, Environmental Science. In many industries, materials handling
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· Sizing equipment for open pit mining-A review of critical parameters. December 2003. Transactions of the Institution of Mining and Metallurgy, Section A: Mining Technology 112 (3):171-179. DOI
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An equipment selection and cost analysis system for openpit coal mines. N. Celebi. Published 1998. Engineering, Environmental Science. International Journal of Surface Mining, Reclamation and Environment. Abstract Turkish Coal Enterprises (TKI) is the largest coal producer of Turkey, The majority of coal stripping is done by private
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Equipment selection for mining : with case studies by Burt, Christina N., author Publication date 2018 Topics This unique book presents innovative and state-of-the-art computational models for determining the optimal truck
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Trituradora de piedra vendida por proveedores certificados, como trituradoras de mandíbula/cono/impacto/móvil, etc.
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