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Mine Plan Optimisation

Mine Plan Optimisation


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About the Book

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.

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


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Product Details
  • ISBN-13: 9780203503454
  • Publisher: Taylor & Francis Inc
  • Publisher Imprint: CRC Press Inc
  • Language: English
  • No of Pages: 350
  • ISBN-10: 0203503457
  • Publisher Date: 01 Mar 2017
  • Binding: Digital (delivered electronically)
  • No of Pages: 350


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