you will find out a real-life problem which can be formulated
as a linear programming model. After determining and understanding
the problem on hand, you will collect the necessary data and
develop the linear programming model. Then, you will solve the
proposed mathematical model by using GAMS optimization software.
After obtaining the optimal solution, you also need to perform
sensitivity analysis on this problem. Finally, you will
prepare
a report as described below.
Chapter 1 – Problem Definition
Give the detailed problem definition by explaining the
following items:
• Motivation of the study.
• Known parameters of the problem.
• Restrictions of the problem.
• Objective of the study.
• Values that should be determined.
Chapter 2 – Linear Programming Model
Give the details of developed linear programming model by
explaining the following items: • Indices
Page 1
• Parameters
• Decision Variables
• Objective Function
• Constraints
• Explain the objective function and constraints by
words.
Chapter 3 – Implementation & Results
In this chapter, please give the information related to your
input data. Give the values of parameters (table representation is
preferred). Give brief information about the optimization software
(GAMS) that you are using. Give the optimal results of your problem
(table representation is preferred). Optimal solution and optimal
values of decision variables should be explained in detail.
Chapter 4 – Scenario Analysis
For the parameters on hand, you should perform sensitivity
analysis. You have to perform sensitivity analysis on at least two
parameters of the problem.
For example, you can analyze the effect of increase in the
cost to the optimal solution (objective function and values of
decision variables). For different increase rates (such as %5, %10,
%15, %20, %25, etc.), you can run the model and obtain the results
for those increased values. Do the necessary comparisons. Please
explain all results and comparisons in detail.
Chapter 5 – Conclusion & Suggestions
Please provide a general conclusion of your project. Do not
forget to write some recommendations related to the problem you
have studied