Finding Added Value At Newmont Through Large-Scale Mining Sequence, Cutoff Grade And Process Optimization Using Mixed Integer Linear Programming

Society for Mining, Metallurgy & Exploration
L. Clark
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
5
File Size:
374 KB
Publication Date:
Jan 1, 2007

Abstract

Despite near-record commodity prices, the mining industry continues to search for ways to maintain profits in these times of steadily increasing energy prices and steadily decreasing grades. The pressure is still on today’s miners to continuously improve their operations because they know that one day prices too will drop. Some, however, have seized the opportunity to employ systematic methods to reduce costs and increase the efficiency of their workforce and equipment. As a result, closer attention is being paid to scheduling and the value that could be added by defining the extraction sequence that maximizes the net present value [NPV] of a project. This paper will discuss the challenges faced by Newmont Mining Corporation [Newmont] at its operations and the application of sophisticated software tools and methods in its search of solutions to this problem.
Citation

APA: L. Clark  (2007)  Finding Added Value At Newmont Through Large-Scale Mining Sequence, Cutoff Grade And Process Optimization Using Mixed Integer Linear Programming

MLA: L. Clark Finding Added Value At Newmont Through Large-Scale Mining Sequence, Cutoff Grade And Process Optimization Using Mixed Integer Linear Programming. Society for Mining, Metallurgy & Exploration, 2007.

Export
Purchase this Article for $25.00

Create a Guest account to purchase this file
- or -
Log in to your existing Guest account