東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Equipment selection for mining = wit...

Burt, Christina N.

FindBook

Google Book

Amazon

博客來

Equipment selection for mining = with case studies /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Equipment selection for mining/ edited by Christina N. Burt, Louis Caccetta.
其他題名:	with case studies /
其他作者:	Burt, Christina N.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xi, 155 p. :ill., digital ;24 cm.
內容註:	Introduction -- 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.
Contained By:	Springer eBooks
標題:	Strip mining - Equipment and supplies. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-76255-5
ISBN:	9783319762555

Equipment selection for mining = with case studies /
Equipment selection for miningwith case studies /[electronic resource] :edited by Christina N. Burt, Louis Caccetta. - Cham :Springer International Publishing :2018. - xi, 155 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1502198-4182 ;. - Studies in systems, decision and control ;v.150..

Introduction -- 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.

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 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.

ISBN: 9783319762555

Standard No.: 10.1007/978-3-319-76255-5doiSubjects--Topical Terms:

3308783
Strip mining
--Equipment and supplies.

LC Class. No.: TN291

Dewey Class. No.: 622.2920284

Equipment selection for mining = with case studies /
LDR:02345nmm a2200325 a 4500 001 2136927
003 DE-He213
005 20180927094930.0
006 m d
007 cr nn 008maaau
008 181117s2018 gw s 0 eng d
020 $a 9783319762555 $q (electronic bk.)
020 $a 9783319762548 $q (paper)
024 7 $a 10.1007/978-3-319-76255-5 $2 doi
035 $a 978-3-319-76255-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TN291
072 7 $a TNH $2 bicssc
072 7 $a TEC009020 $2 bisacsh
082 0 4 $a 622.2920284 $2 23
090 $a TN291 $b .E64 2018
245 0 0 $a Equipment selection for mining $h [electronic resource] : $b with case studies / $c edited by Christina N. Burt, Louis Caccetta.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xi, 155 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.150
505 0 $a Introduction -- 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 $a 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 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.
650 0 $a Strip mining $x Equipment and supplies. $3 3308783
650 0 $a Mine haulage $x Mathematical models. $3 3308784
650 1 4 $a Engineering. $3 586835
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Burt, Christina N. $3 3308780
700 1 $a Caccetta, Louis. $3 3308781
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in systems, decision and control ; $v v.150. $3 3308782
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-76255-5
950 $a Engineering (Springer-11647)