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MINE 326 Operations Research Units: 4.50
The course deals with the application of operations research methods in engineering with emphasis on mining applications. Topics covered are linear programming, optimization methods, transportation and network models, discrete optimization, non linear optimization, decision tree methods, simulation and elements of geostatistics as applied to mining. Lab sessions also deal with forecasting techniques, regression analysis, dispatch problems, planning and scheduling.
(Lec: 3, Lab: 1.5, Tut: 0)
(Lec: 3, Lab: 1.5, Tut: 0)
Requirements: Prerequisites: APSC 142 or APSC 143 or MNTC 313 or permission of the instructor
Corequisites:
Exclusions:
Offering Term: W
CEAB Units:
Mathematics 20
Natural Sciences 0
Complementary Studies 0
Engineering Science 14
Engineering Design 20
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Prepare models for practical engineering or management problems.
- Solve models describing engineering or management problems.
- Describe and use methods to reach optimal solutions.
- Examine validity of solutions. Perform sensitivity analysis.
- Solve mining specific problems related to blending of resources.
- Solve mining related problems related to transportation and dispatch.
- Solve mining related problems related to scheduling.
- Develop and use multi-objective optimization problems.
- Use linear optimization models to schedule resources or evaluate performance of systems.
- Use simulation techniques to solve problems.
- Introduce methods of decision analysis.
- Use linear optimization methods to solve fixed and variable cost problems.