Equipment Selection for Mining: With Case Studies (Record no. 79372)

000 -LEADER
fixed length control field 03528nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-76255-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801221155.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180302s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319762555
-- 978-3-319-76255-5
082 04 - CLASSIFICATION NUMBER
Call Number 629.04
245 10 - TITLE STATEMENT
Title Equipment Selection for Mining: With Case Studies
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 155 p. 38 illus., 24 illus. in color.
490 1# - SERIES STATEMENT
Series statement Studies in Systems, Decision and Control,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Burt, Christina N.
700 1# - AUTHOR 2
Author 2 Caccetta, Louis.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-76255-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Transportation engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Traffic engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Transportation Technology and Traffic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2198-4190 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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