Equipment Selection for Mining: With Case Studies (Hardcover, 1st ed. 2018)

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

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 150
Release date:	March 2018
First published:	2018
Editors:	Christina N. Burt • Louis Caccetta
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	155
Edition:	1st ed. 2018
ISBN-13:	978-3-319-76254-8
Categories:	Books > Professional & Technical > Other technologies > Mining technology & engineering Books > Computing & IT > Applications of computing > Computer modelling & simulation
LSN:	3-319-76254-0
Barcode:	9783319762548

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