Syllabus

Module1: Introduction: Concept of systems engineering, general problem formulation and model selection. Theory of statistics and probability. [4 L]
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.
[8 L]
Module 3: Transportation and assignment problems: Introduction, formulation of model and analysis.
[3 L]
Module 4: Queuing theory: Introduction, Markov Chains and Markov Processes, Birth-Death Processes, Simple Queuing Models (M/M/-/- Queues). [5 L]
Module 5: Project Management: Characteristics of mining projects, Stages of mining Project Management, Project Planning Process, CPM/PERT Network, Network Analysis, and crashing.
[5 L]
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. [5 L]
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. Inventory management applications to mine systems. [4 L]
Module 8: Simulation Modeling: Types of simulation, Monte Carlo simulation technique and its application to mine systems. [2 L]

The primary objective of the course is to understand the mine systems.

The other objective is to learn the different optimization techniques

Understand the application of various optimizations techniques in mine systems.

Learn the skills for solving the optimizations problems and decision making

CO1: Develop basic understanding of mine systems and optimization techniques.
CO2: Formulate the real life system optimization problems into mathematical models.
CO3: Develop necessary skills to write algorithms for solving the optimization problems.
CO4: Develop analytical skills for better decisions making based on optimum solutions
CO5: Develop ability to incorporate the uncertainty of the mining systems parameters in optimization model

Hamdy A. Taha, Operations Research: An Introduction, Pearson

Ravindran, Phillips and Solberg, Operations Research: Principles and Practice, Wiley India

Ilya Gertsbakh, Reliability Theory with Application to Preventive Maintenance, Springer.

Ronald L. Rardin, Optimization in Operations Research, Pearson

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