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Author: Salih Ramazan Publisher: ISBN: Category : Mine management Languages : en Pages : 328
Book Description
Long-term production scheduling design is a very important part of mining because it determines the economic outcome of a project. It is a very complex and difficult problem basically due to its large scale. Much effort has been devoted to solving the optimum pit scheduling problem, but there has been no success in developing a scheduling method to give optimum results in maximizing net present value of a mining project. It is already known that the optimum result for the scheduling problem can be obtained using a mathematical programming method such as Mixed Integer Programming. However, it is not possible to formulate the scheduling problem as a mathematical programming model since the number of variables required for the mathematical model is too great to be solved by today's available computer technology. Therefore, a methodology is required to combine, or aggregate, the mining blocks and to decrease the number of variables in scheduling without losing the optimality. Therefore, fundamental tree concept is introduced in this thesis research to combine the blocks. A fundamental tree is defined as any combination of blocks such that: 1. the blocks can be profitably mined, 2. the blocks obey the slope constraints and, 3. there is no proper subset of the chosen blocks that meets 1 and 2. Linear Programming (LP) formulation is developed as a mathematical model to find a set of fundamental trees that exist for a deposit. Since the blocks are combined to form the fundamental trees, the number of variables required for the scheduling model is decreased significantly. This decrease in the number of variables makes it possible to mathematically formulate the scheduling problem.
Author: Salih Ramazan Publisher: ISBN: Category : Mine management Languages : en Pages : 328
Book Description
Long-term production scheduling design is a very important part of mining because it determines the economic outcome of a project. It is a very complex and difficult problem basically due to its large scale. Much effort has been devoted to solving the optimum pit scheduling problem, but there has been no success in developing a scheduling method to give optimum results in maximizing net present value of a mining project. It is already known that the optimum result for the scheduling problem can be obtained using a mathematical programming method such as Mixed Integer Programming. However, it is not possible to formulate the scheduling problem as a mathematical programming model since the number of variables required for the mathematical model is too great to be solved by today's available computer technology. Therefore, a methodology is required to combine, or aggregate, the mining blocks and to decrease the number of variables in scheduling without losing the optimality. Therefore, fundamental tree concept is introduced in this thesis research to combine the blocks. A fundamental tree is defined as any combination of blocks such that: 1. the blocks can be profitably mined, 2. the blocks obey the slope constraints and, 3. there is no proper subset of the chosen blocks that meets 1 and 2. Linear Programming (LP) formulation is developed as a mathematical model to find a set of fundamental trees that exist for a deposit. Since the blocks are combined to form the fundamental trees, the number of variables required for the scheduling model is decreased significantly. This decrease in the number of variables makes it possible to mathematically formulate the scheduling problem.
Author: Roussos Dimitrakopoulos Publisher: Springer ISBN: 3319693204 Category : Science Languages : en Pages : 784
Book Description
This book presents a collection of papers on topics in the field of strategic mine planning, including orebody modeling, mine-planning optimization and the optimization of mining complexes. Elaborating on the state of the art in the field, it describes the latest technologies and related research as well as the applications of a range of related technologies in diverse industrial contexts.
Author: Thys Brentwood Johnson Publisher: ISBN: Category : Languages : en Pages : 248
Book Description
The multi-period open pit mine production scheduling problem is formulated as a large scale linear programming problem using the block concept. A solution procedure is developed through decomposition and partitioning of the subproblem into elementary profit routing problems for which an algorithm is presented. Many of the traditional mine planning concepts are discussed and suggestions for improvement through use of the techniques developed in this thesis are given. In the development of the solution procedure, those constraints which govern the mining system are considered as the master problem. The constraints which dictate the sequence of extraction are used as the subproblem. The properties of the single period subproblem and its dual are discussed, and the dual problem is shown to be equivalent to a bipartite maximum flow problem for which an algorithm is given. The Multi-period subproblem algorithm is developed by partitioning by stages and using the properties of the single period subproblem. This treatment allows optimization of the complete mining-concentrating-refining system over the entire planning horizon and permits the system to dictate how and when to process a block of material. (Author).
Author: Ali Soofastaei Publisher: Springer Nature ISBN: 3030915891 Category : Business & Economics Languages : en Pages : 746
Book Description
In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.
Author: Andres Weintraub Publisher: Springer Science & Business Media ISBN: 038771815X Category : Science Languages : en Pages : 608
Book Description
Here is the first systematic handbook treatment of quantitative modeling natural resource problems, their allocated efficient use, and societal and economic impact. Andrés Weintraub is the very top person in Natural Resource research. He has selected co-editors who are at the top of the sub-fields in natural resources: agriculture, fisheries, forestry, and mining. The book covers these areas with contributions from researchers on, among others, modeling natural research problems, quantifying data, and developing algorithms.
Author: Sukumar Bandopadhyay Publisher: Society for Mining Metallurgy & Exploration ISBN: Category : Computer applications-Mineral industry Languages : en Pages : 898
Book Description
Papers from a recent symposium present work in traditional areas of mineral exploration, geostatistics, production planning, and scheduling, as well as the emerging areas of information technology, e-commerce, neural networks, and geological information systems. Contributors reflect the efforts of i
Author: William A. Hustrulid Publisher: CRC Press ISBN: 1482221179 Category : Technology & Engineering Languages : en Pages : 1329
Book Description
Building on the success of its 2006 predecessor, this 3rd edition of Open Pit Mine Planning and Design has been both updated and extended, ensuring that it remains the most complete and authoritative account of modern open pit mining available. Five new chapters on unit operations have been added, the revenues and costs chapter has been substantial
Author: Salih Ramazan
Author: Salih Ramazan
Author: Roussos Dimitrakopoulos
Author: Thys Brentwood Johnson
Author: Ali Soofastaei
Author: 
Author: Andres Weintraub
Author: Sukumar Bandopadhyay
Author: William A. Hustrulid
Author: Roussos Dimitrakopoulos
Author: Yingfeng Sun