Overview
- Helps readers design a long-term mining schedule that minimizes transportation and other costs
- Demonstrates how to select the optimal fleet of trucks and loaders
- Presents the truck and loader equipment selection problem in a surface mining context and highlights the latest research
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 150)
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Table of contents (11 chapters)
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Front Matter
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Background and Methodology
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Front Matter
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Optimisation Models and Case Studies
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Front Matter
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Keywords
About this book
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, applyingthe optimization methodology developed here can substantially improve their competitiveness
Editors and Affiliations
Bibliographic Information
Book Title: Equipment Selection for Mining: With Case Studies
Editors: Christina N. Burt, Louis Caccetta
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-76255-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-76254-8Published: 09 March 2018
Softcover ISBN: 978-3-030-09444-7Published: 19 December 2018
eBook ISBN: 978-3-319-76255-5Published: 02 March 2018
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XIII, 155
Number of Illustrations: 14 b/w illustrations, 24 illustrations in colour
Topics: Transportation Technology and Traffic Engineering, Computational Intelligence, Artificial Intelligence