Course Details
Subject {L-T-P / C} : MN6072 : Mine System Laboratory { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : Prof. Amit Kumar Gorai
Syllabus
Lab 1: Introduction to mathematical formulation of optimization problem for a defined mining systems and Software for solving the problems.
Lab 2: Formulation of linear programming problem (LPP) for a defined mining system and solve using suitable software or computer programming. Generation and interpretation of sensitivity analysis of the defined problem.
Lab 3: Formulation of transportation problem for a defined mining system as LPP and Solve using suitable software or computer programming.
Lab 4: Formulation of integer programming problem for a defined mining system and solve using suitable software or computer programming.
Lab 5: Formulation of assignment problem as an Integer programming problem and solve using suitable software.
Lab 6: Formulation of dynamic programming problem for a defined mining system (pit optimization/maximized NPV) and solve using suitable computer programming.
Lab 7: Determination of best Fitting Probability Distribution Curve for a typical field data of a mining systems.
Lab 8: Simulation for optimizing the queuing system in mines.
Lab 9: Reliability analysis of a mining system for estimating the schedule maintenance time using suitable software or computer programming.
Lab 10: Mathematical formulation of non-linear programming problem for a defined mining system and solving using suitable software or computer programming.
Lab 11: Mathematical formulation of the inventory for a defined mining system and solving using suitable software or computer programming.
Lab 12: Introduction to evolutionary algorithms for solving the optimization problems of a defined mining system.
Course Objectives
- The primary objective is to develop skills for mathematical formulation of the optimizations problems for different mining systems
- The other objective of the course is to develop skills for writing computer programming or handling optimization software for solving the optimization problems.
Course Outcomes
By the end of this course, students will be able to: <br /> <br />CO1: Develop necessary software skills for defining a mining systems and mathematical formulation of the problems. <br />CO2: Develop necessary software skills and methods to optimize the mining systems.
Essential Reading
- LINDO Systems, Inc., LINDO USER's Manual, LINDO Systems, Inc , USA
- A. K. Gorai, Instruction Manual, NIT Rourkela
Supplementary Reading
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Journal and Conferences
- NA
- NA