Optimizing Mineral Extraction: How Can Linear Programming Help?

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SUMMARY

The discussion focuses on optimizing mineral extraction using Linear Programming (LP) to minimize costs while meeting specific mineral requirements. Blacktop refining aims to purchase ore from two sites in Montana, with ore type 1 costing $90 per ton and ore type 2 costing $120 per ton. The goal is to extract at least 8 tons of copper, 6 tons of zinc, and 5 tons of magnesium. Participants are tasked with formulating an LP model, identifying the feasible region, and finding the optimal solution.

PREREQUISITES
  • Understanding of Linear Programming concepts
  • Familiarity with formulating objective functions and constraints
  • Knowledge of feasible regions in optimization problems
  • Basic skills in using LP solvers or software tools
NEXT STEPS
  • Research how to formulate Linear Programming models for resource allocation
  • Learn about graphical methods for identifying feasible regions in LP
  • Explore software tools like LINDO or Excel Solver for solving LP problems
  • Study sensitivity analysis in Linear Programming to understand solution robustness
USEFUL FOR

This discussion is beneficial for students in operations research, industrial engineers, and professionals in resource management looking to apply Linear Programming techniques to optimize costs in mineral extraction.

ama111
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Homework Statement


Blacktop refining extracts minerals from ore mined at two different sites in Montana. Each ton of ore type 1 contains 20% copper, 20% zinc, and 15% magnesium. Each ton of ore type 2 contains 30% copper, 25% zinc, and 10% magnesium. Ore type 1 costs 90$ per ton, while ore type 2 costs 120$ per ton. Blacktop would like to buy enough ore to extract alteast 8 tons of copper, 6 tons of zinc, and 5 tons of magnesium in the least costly manner.

Need help in the following tasks:
1. formulating an Linear Programming model
2. feasible region
3. finding optimal solution

any help would be very appreciated:)
 
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Ama111, please read the forum rules before you post.
Not only have you not shown any attempt - have you even tried this yourself?
Then if you start bumping your thread after 90 minutes already, I don't feel inclined to help you at all. If you're in such a hurry, start your homework earlier.
 

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