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Equipment Selection for Mining: With Case Studies: Studies in Systems, Decision and Control, cartea 150

Editat de Christina N. Burt, Louis Caccetta
en Limba Engleză Paperback – 19 dec 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, applyingthe optimization methodology developed here can substantially improve their competitiveness

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Specificații

ISBN-13: 9783030094447
ISBN-10: 3030094448
Pagini: 155
Ilustrații: XIII, 155 p. 38 illus., 24 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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, applyingthe optimization methodology developed here can substantially improve their competitiveness


Caracteristici

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