Course Details

Subject {L-T-P / C} : MN6035 : Mine Systems Engineering { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Prof. Amit Kumar Gorai

Syllabus

Module1: Introduction: Concept of systems engineering, general problem formulation and model selection. Theory of statistics and probability.
Module 2: Theory and computation of linear and integer programming, Limitations of LPP, Sensitivity analysis, dynamic programming, applications of linear programming on mine system optimization.

Module 3: Transportation and assignment problems: Introduction, formulation of model and analysis.

Module 4: Queuing theory: Introduction, Markov Chains and Markov Processes, Birth-Death Processes, Simple Queuing Models (M/M/-/- Queues).

Module 5: Project Management: Characteristics of mining projects, Stages of mining Project Management, Project Planning Process, CPM/PERT Network, Network Analysis, and crashing.

Module 6: Reliability analysis: Definition, causes and types of failures, reliability expressions for constant, increasing and decreasing hazard rates, data analysis, probability plots for various distributions. Reliability analysis for series, parallel, series-parallel system.

Module 7: Inventory management: Importance & scope of inventory control, types of inventory, costs associated with inventory, inventory control, selective inventory control, economic order quantity, safety stocks, inventory management systems.
Module 8: Simulation Modeling: Types of simulation, Monte Carlo simulation technique.

Course Objectives

Course Outcomes

CO1: Develop necessary analytical skills, methods, and ways of thinking to tackle and analyze complex mine organizational problems for better decision making. <br />CO2: Formulate the real life system optimization problems into mathematical models <br />CO2: Solve the mathematical models using operation research techniques <br />CO3: Incorporate the uncertainty of the mining systems parameters in optimization model

Essential Reading

Supplementary Reading