AQA Further AS Paper 2 Discrete 2020 June — Question 7 10 marks

Exam BoardAQA
ModuleFurther AS Paper 2 Discrete (Further AS Paper 2 Discrete)
Year2020
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear Programming
TypeGraphical optimization with objective line
DifficultyModerate -0.3 This is a standard linear programming question requiring interpretation of a given feasible region diagram and use of the objective line method. Students must identify constraints from the table, explain the objective line, read off the optimal vertex, and state a standard assumption. While it involves multiple steps (3+2+1 marks), each component is routine for Further Maths students who have studied Decision Maths, requiring no novel insight beyond textbook techniques.
Spec7.06d Graphical solution: feasible region, two variables7.06e Sensitivity analysis: effect of changing coefficients

7 Robyn manages a bakery. Each day the bakery bakes 900 rolls, 600 teacakes and 450 croissants.
The bakery sells two types of bakery box which contain rolls, teacakes and croissants, as shown in the table below.
Type of
bakery box
Number of
rolls
Number of
teacakes
Number of
croissants
Profit per
box sold
Standard1263\(\pounds 2.50\)
Luxury669\(\pounds 2.00\)
Robyn formulates a linear programming problem to find the maximum profit the bakery can make from selling the bakery boxes. 7
  1. Part of a graphical method to solve this linear programming problem is shown on Figure 1. \begin{figure}[h]
    \captionsetup{labelformat=empty} \caption{Figure 1} \includegraphics[alt={},max width=\textwidth]{21ed3b4e-a089-4607-b5d6-69d8aac03f31-14_1283_1196_1267_424}
    \end{figure} 7
    1. (i) Explain how the line shown on Figure 1 relates to the linear programming problem. Clearly define any variables that you introduce.
      [0pt] [3 marks]
      7
    2. (ii) Use Figure 1 to find the maximum profit that the bakery can make from selling bakery boxes.
      7
    3. State an assumption that you have made in part (a)(ii).
      [0pt] [1 mark] \includegraphics[max width=\textwidth, alt={}, center]{21ed3b4e-a089-4607-b5d6-69d8aac03f31-17_2493_1732_214_139}

Question 7(a)(i):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(x =\) number of standard boxes, \(y =\) number of luxury boxesB1 Introduces two variables, defines at least one as 'number of'
Line drawn on graph is \(y = -2x + 150\); constraint for total number of rolls: \(12x + 6y \leq 900\)B1 Finds equation/inequality for number of rolls
The line forms the boundary of the region \(12x + 6y \leq 900\), which is the constraint for total number of rollsE1 Explains clearly how the line represents the boundary of the constraint for total number of rolls
Question 7(a)(ii):
AnswerMarks Guidance
Answer/WorkingMark Guidance
Teacakes: \(6x + 6y \leq 600\); Croissants: \(3x + 9y \leq 450\)M1 Finds at least one non-trivial inequality considering total numbers of teacakes or croissants
Correct straight lines for the two non-trivial constraints with consistent use of variablesA1 Produces correct straight lines
Identifies feasible regionA1F Correct feasible region identified
Uses an objective line or uses a vertex of feasible regionM1
Optimal vertex at \((60, 30)\)A1 Obtains correct coordinates of optimal vertex
Maximum profit \(= 60 \times 2.5 + 30 \times 2 = £210\)A1 Calculates correct daily profit of £210
Question 7(a)(ii) (cont):
AnswerMarks Guidance
Graph showing feasible region (FR) with two constraint lines plotted, one from approximately (0, 140) to (80, 0) and another from (0, 45) to (100, 0)See graph Lines correctly drawn with feasible region indicated
Question 7(b):
AnswerMarks Guidance
States a plausible assumption that recognises a limitation of the model (e.g. refers to demand, capacity, resources)3.5b B1
Total: 10
## Question 7(a)(i):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $x =$ number of standard boxes, $y =$ number of luxury boxes | B1 | Introduces two variables, defines at least one as 'number of' |
| Line drawn on graph is $y = -2x + 150$; constraint for total number of rolls: $12x + 6y \leq 900$ | B1 | Finds equation/inequality for number of rolls |
| The line forms the boundary of the region $12x + 6y \leq 900$, which is the constraint for total number of rolls | E1 | Explains clearly how the line represents the boundary of the constraint for total number of rolls |

## Question 7(a)(ii):

| Answer/Working | Mark | Guidance |
|---|---|---|
| Teacakes: $6x + 6y \leq 600$; Croissants: $3x + 9y \leq 450$ | M1 | Finds at least one non-trivial inequality considering total numbers of teacakes or croissants |
| Correct straight lines for the two non-trivial constraints with consistent use of variables | A1 | Produces correct straight lines |
| Identifies feasible region | A1F | Correct feasible region identified |
| Uses an objective line or uses a vertex of feasible region | M1 | |
| Optimal vertex at $(60, 30)$ | A1 | Obtains correct coordinates of optimal vertex |
| Maximum profit $= 60 \times 2.5 + 30 \times 2 = £210$ | A1 | Calculates correct daily profit of £210 |

# Question 7(a)(ii) (cont):

Graph showing feasible region (FR) with two constraint lines plotted, one from approximately (0, 140) to (80, 0) and another from (0, 45) to (100, 0) | See graph | Lines correctly drawn with feasible region indicated

---

# Question 7(b):

States a plausible assumption that recognises a limitation of the model (e.g. refers to demand, capacity, resources) | 3.5b | B1 | To maximise the profit, the bakery must sell all the bakery boxes.

**Total: 10**

---
7 Robyn manages a bakery.

Each day the bakery bakes 900 rolls, 600 teacakes and 450 croissants.\\
The bakery sells two types of bakery box which contain rolls, teacakes and croissants, as shown in the table below.

\begin{center}
\begin{tabular}{ | l | c | c | c | c | }
\hline
\begin{tabular}{ l }
Type of \\
bakery box \\
\end{tabular} & \begin{tabular}{ c }
Number of \\
rolls \\
\end{tabular} & \begin{tabular}{ c }
Number of \\
teacakes \\
\end{tabular} & \begin{tabular}{ c }
Number of \\
croissants \\
\end{tabular} & \begin{tabular}{ c }
Profit per \\
box sold \\
\end{tabular} \\
\hline
Standard & 12 & 6 & 3 & $\pounds 2.50$ \\
\hline
Luxury & 6 & 6 & 9 & $\pounds 2.00$ \\
\hline
\end{tabular}
\end{center}

Robyn formulates a linear programming problem to find the maximum profit the bakery can make from selling the bakery boxes.

7
\begin{enumerate}[label=(\alph*)]
\item Part of a graphical method to solve this linear programming problem is shown on Figure 1.

\begin{figure}[h]
\begin{center}
\captionsetup{labelformat=empty}
\caption{Figure 1}
  \includegraphics[alt={},max width=\textwidth]{21ed3b4e-a089-4607-b5d6-69d8aac03f31-14_1283_1196_1267_424}
\end{center}
\end{figure}

7 (a) (i) Explain how the line shown on Figure 1 relates to the linear programming problem.

Clearly define any variables that you introduce.\\[0pt]
[3 marks]\\

7 (a) (ii) Use Figure 1 to find the maximum profit that the bakery can make from selling bakery boxes.\\

7
\item State an assumption that you have made in part (a)(ii).\\[0pt]
[1 mark]\\
\includegraphics[max width=\textwidth, alt={}, center]{21ed3b4e-a089-4607-b5d6-69d8aac03f31-17_2493_1732_214_139}
\end{enumerate}

\hfill \mbox{\textit{AQA Further AS Paper 2 Discrete 2020 Q7 [10]}}