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Details for:
Gorai A. Optimization Techniques...App to Mine Systems 2022
gorai optimization techniques app mine systems 2022
Type:
E-books
Files:
1
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78.4 MB
Uploaded On:
Sept. 8, 2022, 8:30 a.m.
Added By:
andryold1
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Info Hash:
BD804A5A261C20F11DB786D2D52E6AC82C130FDC
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Textbook in PDF format This book describes the fundamental and theoretical concepts of optimization algorithms in a systematic manner, along with their potential applications and implementation strategies in mining engineering. It explains basics of systems engineering, linear programming, and integer linear programming, transportation and assignment algorithms, network analysis, dynamic programming, queuing theory and their applications to mine systems. Reliability analysis of mine systems, inventory management in mines, and applications of non-linear optimization in mines are discussed as well. All the optimization algorithms are explained with suitable examples and numerical problems in each of the chapters. Features include Integrates operations research, reliability, and novel computerized technologies in single volume, with a modern vision of continuous improvement of mining systems. Systematically reviews optimization methods and algorithms applied to mining systems including reliability analysis. Gives out software-based solutions such as MATLAB, AMPL, LINDO for the optimization problems. All discussed algorithms are supported by examples in each chapter. Includes case studies for performance improvement of the mine systems. This book is aimed primarily at professionals, graduate students, and researchers in mining engineering. Preface Author Biographies Introduction to Mine Systems Definition of a System Types of System System Approach System Analysis Elements of a Mining System Definition and Classification of Optimization Problem Based On the Existence of Constraints Based On the Nature of the Equations Involved Based On the Permissible Values of the Decision Variables Based On the Number of the Objective Function Solving Optimization Problems Classical Optimization Techniques Direct Methods Gradient Methods Linear Programming Methods Interior Point Method Advanced Optimization Techniques Basics of Probability and Statistics Definition of Probability Additional Theory of Probability Probability Distributions Common Probability Distribution Functions Uniform Distribution Normal Distribution Case Case Case Case Poisson Distribution Exponential Distribution Conditional Probability Memoryless Property of the Probability Distribution Theorem of Total Probability for Compound Events Bayes’ Rule Definition of Statistics Statistical Analyses of Data Common Tools of Descriptive Statistics Arithmetic Mean Median Mode Standard Deviation Mean Absolute Deviation Skewness Coefficient of Variation Expectation Or Expected Value Variance and Covariance Correlation Coefficient Standard Analysis Tools of Inferential Statistics Hypothesis Tests Linear Programming for Mining Systems Introduction Definition of Linear Programming Problem (LPP) Solution Algorithms of LPP Graphical Method Multiple Solutions Unbounded Solution Simplex Method Big-M Method Sensitivity Analysis Graphical Method of Sensitivity Analysis Sensitivity Analysis of the Model Using Simplex Method The Dual Problem Formulation of Dual Problem for a Given Primal LPP Dual Simplex Algorithm Case Study of the Application of LPP in Optimization of Coal Transportation From Mine to Power Plants Transportation and Assignment Problems in Mines Definition of a Transportation Problem Types of Transportation Problem Solution Algorithms of a Transportation Model Initial Basic Feasible Solution The North-West Corner Method Matrix Minimum Method Vogel Approximation Method (VAM) Determination of Optimal Solution The Modified Distribution Method Stepping Stone Method Solution Algorithm of an Unbalanced Transportation Model Solution Algorithm of a Transportation Model With Prohibited Routes Solution Algorithm for Degeneracy Problem Assignment Problem The Hungarian Assignment Method (HAM) Case Study On the Application of Transportation Model in Mining System Exercise Integer Linear Programming for Mining Systems Definition Formulation of ILP Solution Algorithms of an ILP Cutting Plane Method Or Gomory’s Cut Method Branch and Bound (B&B) Algorithm Case Study of the Application of Mixed Integer Programming (MIP) in Production Scheduling of a Mine Appendix Exercise Dynamic Programming for Mining Systems Introduction Solution Algorithm of Dynamic Programming Example : Maximising Project NPV Backward Recursion Algorithm Forward Recursion Algorithm Example : Decision On Ultimate Pit Limit (UPL) of Two-Dimensional (-D) Blocks Example : Stope Boundary Optimization Using Dynamic Programming Case Study of Dynamic Programming Applications to Determine the Ultimate Pit for a Copper Deposit Appendix Loading Data Block Economic Value Calculation Preparing Data for Dynamic Programming Running Dynamic Programming in D Running Dynamic Programming in D Generating a File for Surpac Or Any Mine Planning Software Network Analysis for Mining Project Planning Introduction Representation of Network Diagram Methods of Determining the Duration of a Project Critical Path Method (CPM) Program Evaluation and Review Technique (PERT) PERT Analysis Algorithm Network Crashing Reliability Analysis of Mining Systems Definition Statistical Concepts of Reliability Hazard Function Cumulative Hazard Rate Reliability Functions Reliability Calculation With an Exponential Distribution Function Reliability Calculation With a Normal Probability Density Function Reliability Calculation With a Weibull Distribution Probability Density Function Reliability Calculation With a Poisson Distribution Probability Mass Function Reliability Calculation for a Binomial Distribution Mean Time Between Failure (MTBF) and Mean Time to Failure (MTTF) Maintainability and Mean Time to Repair (MTTR) Reliability of a System System Reliability On a Series Configuration System Reliability On Parallel Configuration System Reliability of a Combination of Series and Parallel System System Reliability of K-Out-Of-N Configuration System Reliability of Bridge Configuration System Reliability of Standby Redundancy Availability Improvement of System Reliability Redundancy Optimization Reliability Analysis to a Mine System: A Case Study Introduction Data Exploratory Data Analysis Estimating the Best Fit Probability Density Function (PDF) for TBF and TTR Reliability Analysis for Estimation of Maintenance Schedule Inventory Management in Mines Costs Involved in Inventory Models Inventory Models Deterministic Model Basic Economic Order Quantity (EOQ) Model EOQ Model With Planned Shortages EOQ Model With Price Discounts Multi-Item EOQ Model With No Storage Limitation Multi-Item EOQ Model With Storage Limitation Fixed Time-Period Model Probabilistic EOQ Model Queuing Theory and Its Application in Mines Introduction Kendall Notation Probability Distributions Commonly Used in Queuing Models Geometric Distribution Poisson Distribution Exponential Distribution Erlang Distribution Relation Between the Exponential and Poisson Distributions Little’s Law Queuing Model M/M/ Model Time-Dependent Behaviour of the Flows of Dump Trucks M/M/s Queuing System Infinite Server Queue Model (M/M/) (M/M/s): (FCFS)/K/K Queuing System Determining the Model Performance Measures Results and Discussion Cost Models Case Study for the Application of Queuing Theory for Shovel-Truck Optimization in an Open-Pit Mine Non-Linear Algorithms for Mining Systems Introduction Stationary Points Classifications of Non-Linear Programming Unconstrained Optimization Algorithm for Solving Non-Linear Problems Constrained Optimization Algorithm for Solving Non-Linear Problems KKT Conditions for Minimization of the Objective Function at the Stationary Point Indices Parameters Variables Objective Function Constraints Case Study On the Application of Non-Linear Optimization for Open-Pit Production Scheduling Bibliography Index
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Gorai A. Optimization Techniques...App to Mine Systems 2022.pdf
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