Mine Plan Optimisation by Martin L. SmithMine Plan Optimisation by Martin L. Smith

Mine Plan Optimisation

byMartin L. SmithEditorMartin L. Smith

Hardcover | January 22, 2019

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This textbook provides a range of tools for optimization in the mineral industry, including examples with mathematical programming. Topics covered include a survey of the application of optimisation technologies; a review of optimisation algorithms with math programming, math modelling and an introduction to AMPL (a widely used math modelling language), applications of linear programming to business improvement studies, surface mining applications, underground mining applications and options analysis. The math programming and AMPL is supported by the www.ampl.coma and by the author's site, www.minesmith.com.au.
This volume is intended for course use and was developed for 3rd and 4th year university education in mine planning and design or mine optimisation. Engineers, planners and policy makers in the minerals industry may find it beneficial for their professional activities as well.

Title:Mine Plan OptimisationFormat:HardcoverDimensions:350 pages, 9.69 × 6.85 × 0.98 inPublished:January 22, 2019Publisher:Taylor and FrancisLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0415665787

ISBN - 13:9780415665780

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Table of Contents

Preface; Origin of book; Objectives of author; Outline of text; Use as an undergraduate and introductory graduate level textbook; Guidance for  professional development; Acknowledgements

Introduction
Overview of mine planning and design
Levels of responsibility and decision making
Role of optimisation in mine planning
Mine planning process flow
Influence of General Mine Planning packages
Optimisation as practiced in the general industry
Optimisation as a foundation for planning and design

Overview of Optimisation Technology
Why Mathematical Programming?
Linear Programming
Integer Programming and Combinatorial Optimization
Solution Algorithms for Linear and Mixed Integer Programming
Proof of optimality
Review of alternative optimisation methods
Contrast and comparison of technologies in their use and application

Survey of the application of optimisation in the minerals industry
History of development of optimisation in mine planning and design
Lerchs-Grossman and pit optimisation
Linear and Mixed Integer Programming as applied to pit scheduling with extensions to Lagrange Parameterization
Whittle and the development of nested pit methodologies
Survey of research development
Survey of commercial applications of optimisation to mine planning
Gaps analysis and future trends

Introduction to mine modeling and optimisation using AMPL
Structure of a mathematical model
Introduction to AMPL
Formulating a Linear Program
Network applications
Integer and network programming
Solvers
AMPL/Solver interaction
Additional learning resources for math modeling

Pit Optimisation and Pushback generation
Formulation and solution as a Graph
Solution using LG
Formulation of the ultimate pit problem as an LP
Solution as a LP and unimodularity
Generating nested pits
Selecting pushbacks
Review of commercial applications

Open Cut Production Scheduling
Scheduling using math programming
Scheduling heuristics as applied to benches within mining stages
Heuristic approaches to finding a ¿good¿ schedule
Formulation as a MIP
MIP solution strategies and schedule granularity
MIP extensions to more complex problems
Sequencing and scheduling of blast masters
Blending, throughput and feed limitations
Fixed costs and capital expansion problems
Stockpile optimisation and the cutoff problem

Underground Mine Planning
The process of underground mine planning
Using simulated annealing to define a mining inventory
Steiner Trees and access optimisation
Formulation of the underground scheduling problem as a LP
The underground cutoff problem and overall strategy optimisation
Converting a mining inventory into a reserve
Production versus activity scheduling and project management

Other Applications and Considerations
Strategic, tactical and operational mine planning
Hills of Value and option analysis using LP/MIP
Business-wide planning
Optimising multiple business units
Equipment fleet and haulage optimisation
Extensions to coal mining

Conclusions
Towards a discipline of mine planning
Gaps in the technology
Gaps in the profession
Where to from here?

Appendices
¿ Additional website resources
¿ Further readings in optimisation technology
¿ A guide to applying AMPL to the minerals industry