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2. An airline is planning their flights between different cities of Turkey. We focus on the flight they will have on August 1

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Answer #1

a) The Linear Program is as follows:

The objective function is to maximize the total profit

Total Profit = \sum_{i=1}^{3}\sum_{j=1}^{3}p_{ij}\times x_{ij}

Decision variables: x_{ij} (Number of passengers of each type in each fare class)

Constraints:

1) Number of people traveling from Istanbul to Ankara and Antalya across all the three fare classes should be less than or equal to 30

x_{1j} and x_{3j} represent the passengers traveling from Istanbul

\sum_{j=1}^{3}x_{1j} + \sum_{j=1}^{3}x_{3j} \leq 30

2) Number of people traveling from Istanbul to Antalya and Ankara to Antalya across all the three fare classes should be less than or equal to 30

x_{3j} represent the passengers traveling from Istanbul to Antalya and x_{2j} represent the passengers traveling from Ankara to Antalya

\sum_{j=1}^{3}x_{2j} + \sum_{j=1}^{3}x_{3j} \leq 30

3) The number of passengers of any type traveling in any fare class x_{ij} should be less than or equal to the upper bound uij

x_{ij} \leq u_{ij}

b) The cost of taxes are to be accounted

We introduce a variable y such that y has to take a binary value (i.e. 0 and 1)

Cost = 1000 * x_{ij} * y + 2400 * x_{ij} * (1-y)

x_{ij} >= 16 - M * y

Where M is a very large number (around 100000)

So, if x_{ij} is more than 16, y will be 0 and hence M * y will be 0 and in the cost function 1000 * x_{ij} * y term will be zero, thereby leaving only 2400 * x_{ij} * (1-y) or 2400 * x_{ij} in the cost function.

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