SIT718 Real world Analytics Assessment Task 3 Total Marks = 100, Weighting - 30% Your final submission should consist of: 1. “name-report.pdf”: A pdf file (created in any word processor) with up to 8...

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SIT718 Real world Analytics Assessment Task 3 Total Marks = 100, Weighting - 30% Your final submission should consist of: 1. “name-report.pdf”: A pdf file (created in any word processor) with up to 8 pages, con- taining the solutions of the questions, labelled with your name; 2. “name-code.R”: Two codes combined in one with your R file, labelled with yourname.R, with lp models for Questions 2 and Questions 3. Your assignment will not be assessed if we cannot reproduce your results with your R code. Reference style: Harvard. ** Q4 is for students who are aiming for HD ** 1 1. A food factory is making a beverage for a customer from mixing two different existing products A and B. The compositions of A and B and prices ($/L) are given as follows, Amount (L) in /100 L of A and B Lime Orange Mango Cost ($/L) A 3 6 4 3 B 7 4 8 11 The customer requires that there must be at least 5 Litres (L) Orange and at least 5 Litres of Mango concentrate per 100 Litres of the beverage respectively, but no more than 6 Litres of Lime concentrate per 100 Litres of beverage. The customer needs at least 100 Litres of the beverage per week. a) Explain why a linear programming model would be suitable for this case study. [5 marks] b) Formulate a Linear Programming (LP) model for the factory that minimises the total cost of producing the beverage while satisfying all constraints. [10 marks] c) Use the graphical method to find the optimal solution. Show the feasible region and the optimal solution on the graph. Annotate all lines on your graph. What is the mini- mal cost for the product? [10 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) Is there a range for the cost ($) of A that can be changed without affecting the opti- mum solution obtained above? [5 marks] 2. 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 $60 $5 Cotton $30 Autumn $55 $3 Wool $45 Winter $60 $5 Silk $50 The maximal demand (in tons) for each product, the minimum cotton and wool propor- tion in each product is as follows: Demand min Cotton proportion min Wool proportion Spring 3100 55% 30% Autumn 3500 45% 40% Winter 3800 30% 50% a) Formulate an LP model for the factory that maximises the profit, while satisfying the demand and the cotton and wool proportion constraints. There is no penalty for the shortage. [10 Marks] b) Solve the model using R/R Studio. Find the optimal profit and optimal values of the decision variables. [10 Marks] Hints: You may refer to Week 8.7 Example - Blending Crude Oils into Gasolines. For ex- ample, let xij ≥ 0 be a decision variable that denotes the number of tons of products j for j ∈ {1 = Spring, 2 = Autumn, 3 = Winter} to be produced from Materials i ∈ {C=Cotton, W=Wool, S=Silk}. 3. Consider the following parlor game to be played between two players. Each player begins with three chips: one red, one white, and one blue. Each chip can be used only once. To begin, each player selects one of her chips and places it on the table, concealed. Both players then uncover the chips and determine the payoff to the winning player. In particular, if both players play the same kind of chip, it is a draw; otherwise, the following table indicates the winner and how much she receives from the other player. Next, each player selects one of her two remaining chips and repeats the procedure, resulting in another payoff according to the following table. Finally, each player plays her one remaining chip, resulting in the third and final payoff. Winning Chip Payoff ($) Red beats white 15 White beats blue 10 Blue beats red 5 Matching colors 0 (a) Formulate the payoff matrix for the game and identify possible saddle points. [5 Marks] (b) Construct a linear programming model for each player in this game. [5 Marks] (c) Produce an appropriate code to solve the linear programming model for this game. [5 Marks] (d) Solve the game for both players using the linear programming model and interpret your solution in 3-5 sentences. [5 Marks] [Hint: Each player has the same strategy set. A strategy must specify the first 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 first choosing the white and then choosing the red, before choosing blue at the end.] 4. Three board members are going to vote for a president from them: Ava, Bob and Chloe. Each member is both a candidate and a voter. Here is the voting rule: each member votes for one candidate (voting for oneself is allowed); if two or more people vote for the same candidate then that person is chosen as the president; if there is exactly one vote for each candidate, then the person for whom Ava voted is selected as the president. (a) Represent this voting procedure as a game frame, indicating inside each cell of each table which candidate is elected, i.e., using the president’s name as the payoff value. [6 Marks] (b) Convert the game frame into a 3-person non-zero-sum game with the following payoff values: • When Ava is selected as the president: Ava - 4, Bob - 2, Chloe - 0. • When Bob is selected as the president: Ava - 0, Bob - 4, Chloe - 2. • When Chloe is selected as the president: Ava - 2, Bob - 0, Chloe - 4. [6 Marks] (c) Find the Nash equilibrium of this game. Explain your reason clearly. [6 Marks] (d) Find the Pareto optimality of this game. Explain your reason clearly. [6 Marks] (e) Does the extra power given to Ava (in case of one vote for each candidate) benefit Ava? [6 Marks]
Answered 7 days AfterSep 17, 2021Deakin University

Answer To: SIT718 Real world Analytics Assessment Task 3 Total Marks = 100, Weighting - 30% Your final...

Pritam Kumar answered on Sep 25 2021
124 Votes
1.A Food factory is making a beverage for a customer from mixing two different existing products A and B. The compositions of A and B and prices ($/L) are given as follows,
    
    Amoun
    t (L) in
    /100
    L of A and B
    
    
    Lime
    Orange
    Mango
    Cost ($/L)
    A
    3
    6
    4
    3
    B
    7
    4
    8
    11
The customer requires that there must be at least 5 Litres (L) Orange and at least 5 Litres of Mango concentrate per 100 Litres of the beverage respectively, but no more than 6
Litres of Lime concentrate per 100 Litres of beverage. The customer needs at least 100 Litres of the beverage per week.
a) Explain why a linear programming model would be suitable for this case study. [5 marks]
Answer:
The pre-requisites for defining a problem as a linear programming model are: - A well-defined objective function. The objective must be sated and it can be a maximization or a minimization of costs. - There must be limited resources. There must be restrictions to the number of resources used to attain the objective and those resources must be quantified economically and limited in supply. - Alternative cost of actions. Since a firm uses many alternatives or a combination of resources to achieve its chosen goals there must be alternative causes of actions. - Mathematical formulation. The organization objective equation and the inequalities must be mathematically expressed in order to obtain accurate means of measurement. - Linearity of the objective function and constraints. All the equations and the equalities must describe the problem in a linear form The problem at hand, clearly fulfills all the requirements state above and therefore can use LP modelling for simulation and finding maximum profit..    
    
b) Formulate a Linear Programming (LP) model for the factory that minimises the total cost of producing the beverage while satisfying all constraints.
Answer:
Decision variables
x= Amount of Product A in litres/100L
y= Amount of Product B in litres/100L
Z=Objective function
Objective Function
Min Z= 3*x + 11y
Constraints
1. (3*x + 7*y)/100<=6
2. (6*x + 4*y)/100>=5
3. (4*x + 8*y)/100>=5
4. x+y>=100
x, y>=0
[10 marks]
c) Use the graphical method to find the optimal solution. Show the feasible region and the optimal solution on the graph. Annotate all lines on your graph. What is the minimal cost for the product?
[10 marks]
After solving all the equations using the available roots of equations, (x,y)=(125, 0) is found to be the most optimal solution for minimum cost of Z= 375. The feasible region is shaded with the blue highlighter surrounded by black highlighter.
    roots (x,y)
    36.667,70
    50,50
    75, 25
    125,0
    200,0
    3
    110.001
    150
    225
    375
    600
    11
    770
    550
    275
    0
    0
    Z
    880.001
    700
    500
    375
    600
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) Is there a range for the cost ($) of A that can be changed without affecting the         optimum solution obtained above?
[5 marks]
It can be found from the spreadsheet that the minimum cost is at (125, 0) when the cost per liter for product A is less than 5.5. when the cost per liter for product A is equal 5.5, then the minimum cost is shared between (125,0) and (75,25). when the cost per liter for product A is in the range 5.52.A 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
    $60
    $5
    Cotton
    $30
    Autumn
    $55
    $3
    Wool
    $45
    Winter
    $60
    $5
    Silk
    $50
The maximal demand (in tons) for each product, the minimum cotton and wool proportion in each product is as follows:
    
    Demand
    min Cotton proportion
    min Wool proportion
    
    
    
    Spring
    3100
    55%
    30%
    
    
    
    Autumn
    3500
    45%
    40%
    
    
    
    Winter
    3800
    30%
    50%
    
    
    
a) Formulate an LP model for the factory that maximises the profit, while satisfying the demand and the cotton and wool proportion constraints. There is no penalty for the shortage.
Answer:
Profit= Sales price- (Production cost + Purchase price)
Decision variables
X1- Number of spring products with cotton
X2- Number of Autumn products with cotton
X3- Number of Winter products with cotton
X4- Number...
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