000			03133nam a22004215i 4500
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
999			_c102703 _d102703 _x1
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007			cr nn 008mamaa
008			180302s2018 gw | s |||| 0|eng d
020			_a9783319762555
024	7		_a10.1007/978-3-319-76255-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTN291 _b2018 EB
245	0	0	_aEquipment Selection for Mining: With Case Studies _cedited by Christina N. Burt, Louis Caccetta
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIII, 155 páginas) _bilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Systems, Decision and Control, _x2198-4182 _v150
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Literature Review -- Match Factor Extensions -- Case Studies -- Single Location Equipment Selection -- Multiple Locations Equipment Selection -- Utilisation-based Equipment Selection -- Accurate Costing of Mining Equipment -- Future Research Directions.
520	3		_aThis 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 spreadsheet approaches to today's highly sophisticated and accurate mathematical-based computational models. The authors' approach is motivated and illustrated by real case studies provided by our industry collaborators. The book is intended for a broad audience, ranging from mathematicians with an interest in industrial applications to mining engineers who wish to utilize the most accurate, efficient, versatile and robust computational models in order to refine their equipment selection and allocation strategy. As materials handling costs represent a significant component of total costs for mining operations, applying the optimization methodology developed here can substantially improve their competitiveness.
988			_aEBSPRINGER_2018
650		7	_2embne _aMinas _xExplotación a cielo abierto _9138735
650		7	_2embne _aMinas _xTransporte _9138735
700	1		_aBurt, Christina N. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aCaccetta, Lou _0http://id.loc.gov/authorities/names/n2001003654 _1http://viaf.org/viaf/237172048/
776	0	8	_iEdición impresa: _z9783319762548
776	0	8	_iEdición impresa: _z9783319762562
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-76255-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2020 _dz _ek _zSI