Part1) One page description (at least 600 words) about the application, including the problem statement, the optimized objective, and the considered constraints. You may discuss each model in...

Operations Research



Part1) One page description (at least 600 words) about the application, including the problem statement, the optimized objective, and the considered constraints. You may discuss each model in separation. [10 marks] 2) Three different linear programming formulations for the problem (from the research papers you read). For each formulation, state mathematically the decision variables, the objective function, and the constraints. [15 marks] 3) Compare among the three formulations. [5 marks] 4) Consider one of the formulations you discussed earlier Solve it using one of the techniques you have learned in the course. You may use the data (parameter values) mentioned in the research paper or use hypothetical data (the only requirement here is that the values make sense). [10 marks] ii. Convert it to its dual form. [10 marks] iii. Make a sensitivity analysis for the model. Part 2) For your problem, write a report which must include the following. 1) One page description (at least 600 words) about your problem, including the problem statement, the optimized objective, and the considered constraints. [10 marks] 2) A linear programming formulation for the problem stating mathematically the decision variables, the objective function, and the constraints. 3) Solve the formulation using one of the techniques you have learned in the course. Use real-life data (parameter values) related to your problem. 4) Convert the linear formulation to its dual form.