A2 June 2019 Q6
6. A linear programming problem in \(x\), \(y\) and \(z\) is described as follows.
| Maximise | \(P = 2x + 2y - z\) |
| subject to | \(\begin{aligned} 3x + y + 2z &\leqslant 30 \\ x - y + z &\geqslant 8 \\ 4y + 2z &\geqslant 15 \\ x, y, z &\geqslant 0 \end{aligned}\) |
After a first iteration of the big-M method, the tableau is
| b.v. | \(x\) | \(y\) | \(z\) | \(s_1\) | \(s_2\) | \(s_3\) | \(a_1\) | \(a_2\) | Value |
|---|---|---|---|---|---|---|---|---|---|
| \(s_1\) | 3 | 0 | 1.5 | 1 | 0 | 0.25 | 0 | \(-0.25\) | 26.25 |
| \(a_1\) | 1 | 0 | 1.5 | 0 | \(-1\) | \(-0.25\) | 1 | 0.25 | 11.75 |
| \(y\) | 0 | 1 | 0.5 | 0 | 0 | \(-0.25\) | 0 | 0.25 | 3.75 |
| \(P\) | \(-(2 + M)\) | 0 | \(2 - 1.5M\) | 0 | \(M\) | \(-0.5 + 0.25M\) | 0 | \(0.5 + 0.75M\) | \(7.5 - 11.75M\) |
Taking the most negative entry in the profit row to indicate the pivot column,
| Scheme | Marks | AO |
|---|---|---|
| Simplex can only be applied when the non-negativity constraints are \(\leqslant\) | B1 | 3.5b |
| (1) |
Notes
(a) B1: CAO – e.g. not all of the constraints are \(\leqslant\), the origin is not a (basic feasible) solution of the LP
| Scheme | Marks | AO | ||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| \(3x + y + 2z \leqslant 30 \Rightarrow 3x + y + 2z + s_1 = 30\) | B1 | 1.1b | ||||||||||||||||||||||||||||||||||||||||||||||||||
| \(x - y + z \geqslant 8 \Rightarrow x - y + z - s_2 + a_1 = 8\) | B1 | 2.5 | ||||||||||||||||||||||||||||||||||||||||||||||||||
| \(4y + 2z \geqslant 15 \Rightarrow 4y + 2z - s_3 + a_2 = 15\) | B1 | 1.1b | ||||||||||||||||||||||||||||||||||||||||||||||||||
| \(P = 2x + 2y - z \Rightarrow P = 2x + 2y - z - M(a_1 + a_2)\) together with \(a_1 + a_2 = 23 - x - 3y - 3z + s_2 + s_3\) | M1 | 2.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||
| \(P - (2 + M)x - (2 + 3M)y - (-1 + 3M)z + Ms_2 + Ms_3 = -23M\) | A1 | 1.1b | ||||||||||||||||||||||||||||||||||||||||||||||||||
| M1 A1 | 3.3 2.2a | ||||||||||||||||||||||||||||||||||||||||||||||||||
| (7) |
Notes
(b) B1: CAO \(3x + y + 2z + s_1 = 30\) (may be seen in the simplex tableau – allow any \(s_i\) (or \(s\)) for \(s_1\))
B1: CAO \(x - y + z - s_2 + a_1 = 8\) (may be seen in the simplex tableau – allow any consistent \(s_i\) for \(s_2\) (or \(t\) say) but not the same \(s_i\) as in the previous mark and allow any \(a_i\) for \(a_1\))
B1: CAO \(4y + 2z - s_3 + a_2 = 15\) (may be seen in the simplex tableau – same conditions as above)
M1: setting up the new objective which must be \(P = 2x + 2y - z - M(a_1 + a_2)\) and substituting for their \(a_1\) and \(a_2\) (if no working then the correct objective line in the tableau implies this mark)
A1: CAO \(P - (2 + M)x - (2 + 3M)y - (-1 + 3M)z + Ms_2 + Ms_3 = -23M\) (any equivalent form – need not be factorised and does not need to be re-arranged into this form - if no working then the correct objective line in the tableau implies this mark)
M1: setting up initial tableau – all four rows complete with two correct rows (but ignore b.v. column for this mark)
A1: CAO (any equivalent correct form)
| Scheme | Marks | AO |
|---|---|---|
| \(s_1 = 26.25,\ a_1 = 11.75,\ y = 3.75,\ x = z = s_2 = s_3 = a_2 = 0\) | B1 | 3.4 |
| (1) |
Notes
(c) B1: CAO \(s_1 = 26.25,\ a_1 = 11.75,\ y = 3.75,\ x = z = s_2 = s_3 = a_2 = 0\) (ignore expression for \(P\) if given)
| Scheme | Marks | AO |
|---|---|---|
| The solution after the 1st iteration is not feasible because \(a_1 = 11.75\) is an artificial variable which must be zero in a feasible solution | B1 | 2.4 |
| (1) |
Notes
(d) B1: correct reasoning of why the solution is not feasible e.g. \(a_1\) is not zero but B0 for just stating that the artificial variable is non-zero (so must see either \(a_1\) or 11.75 being stated as non-zero)
| Scheme | Marks | AO |
|---|---|---|
| The most negative value in the objective row is \(2 - 1.5M\) so the pivot is a value from the \(z\)-column | B1 | 2.4 |
| The 0.5 in the \(y\) row is the pivot because \(\dfrac{3.75}{0.5}\) is less than both \(\dfrac{26.25}{1.5}\) and \(\dfrac{11.75}{1.5}\) | dB1 | 2.2a |
| (2) | ||
| (12 marks) |
Notes
(e) B1: correct reasoning of why the pivot comes from a value from the \(z\)-column so must say that the most negative value (in the objective row) is \(2 - 1.5M\) (or this expression clearly implied)
dB1: correct justification of why the 0.5 in the third row is the next pivot (dependent on previous B mark) – so must compare or state that \(\dfrac{3.75}{0.5}\) or 7.5 is less than both \(\dfrac{26.25}{1.5}\) or 17.5 and \(\dfrac{11.75}{1.5}\) or 7.8(3333….) – just stating that the 0.5 in the third row is the next pivot without reasoning is no marks in this part