Equipment Selection for Mining: With Case Studies

Nonfiction, Science & Nature, Technology, Engineering, Civil, Computers, Advanced Computing, Artificial Intelligence
Cover of the book Equipment Selection for Mining: With Case Studies by , Springer International Publishing
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Author: ISBN: 9783319762555
Publisher: Springer International Publishing Publication: March 2, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319762555
Publisher: Springer International Publishing
Publication: March 2, 2018
Imprint: Springer
Language: English

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

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