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SIT 7 1 8 Real world Analytics Assessment Task 3 Total Marks = 1 0 0 , Weighting - 3 0 % 1 1 .
SIT Real world Analytics
Assessment Task
Total Marks Weighting
A food factory is making a beverage for a customer from mixing two dierent existing
products A and B The compositions of A and B and prices $L are given as follows,
Amount L in L of A and B
Lime Orange Mango Cost $L
A
B
The customer requires that there must be at least Litres L Orange and at least
Litres of Mango concentrate per Litres of the beverage respectively, but no more
than Litres of Lime concentrate per Litres of beverage. The customer needs at
least Litres of the beverage per week.
a Explain why a linear programming model would be suitable for this case study.
marks
b Formulate a Linear Programming LP model for the factory that minimises the total
cost of producing the beverage while satisfying all constraints.
marks
c Use the graphical method to nd the optimal solution. Show the feasible region and
the optimal solution on the graph. Annotate all lines on your graph.
marks
Note: you can use graphical solvers available online but make sure that your graph is
clear, all variables involved are clearly represented and annotated, and each line is clearly
marked and related to the corresponding equation.
d What is the range for the cost $ of A that can be changed without aecting the
optimum solution obtained above?
marks
A factory makes three products called Spring, Autumn, and Winter, from three materials
containing Cotton, Wool and Silk. The following table provides details on the sales price,
production cost and purchase cost per ton of products and materials respectively.
Sales price Production cost Purchase price
Spring $ $ Cotton $
Autumn $ $ Wool $
Winter $ $ Silk $
The maximal demand in tons for each product, the minimum cotton and wool propor
tion in each product is as follows:
Demand min Cotton proportion min Wool proportion
Spring
Autumn
Winter
a Formulate an LP model for the factory that maximises the prot, while satisfying the
demand and the cotton and wool proportion constraints. There is no penalty for the
shortage.
Marks
b Solve the model using RR Studio. Find the optimal prot and optimal values of the
decision variables.
Marks
Hints:
You may refer to Week Example Blending Crude Oils into Gasolines. For ex
ample, let xij be a decision variable that denotes the number of tons of products
j for j f Spring; Autumn; Winterg to be produced from Materials
i fCCotton, WWool, SSilkg.
Consider the following parlor game to be played between two players. Each player begins
with three chips: one red, one white, and one blue. Each chip can be used only once.
To begin, each player selects one of her chips and places it on the table, concealed.
Both players then uncover the chips and determine the payo to the winning player.
In particular, if both players play the same kind of chip, it is a draw; otherwise, the
following table indicates the winner and how much she receives from the other player.
Next, each player selects one of her two remaining chips and repeats the procedure,
resulting in another payo according to the following table. Finally, each player plays
her one remaining chip, resulting in the third and nal payo.
Winning Chip Payo $
Red beats white
White beats blue
Blue beats red
Matching colors
a Formulate the payo matrix for the game and identify possible saddle points.
Marks
b Construct a linear programming model for each player in this game.
Marks
c Produce an appropriate code to solve the linear programming model for this game.
Marks
d Solve the game for both players using the linear programming model.
Marks
Hint: Each player has the same strategy set. A strategy must specify the rst chip
chosen, the second and third chips chosen. Denote the white, red and blue chips by W
R and B respectively. For example, a strategy WRB indicates rst choosing the white
and then choosing the red, before choosing blue at the end.
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