Questions where people/teams must be assigned to tasks/jobs/locations with numerical costs or scores in a table, requiring finding the optimal (minimum cost or maximum score) assignment using the Hungarian algorithm or similar methods.
57 questions
| \(\mathbf { 1 }\) | \(\mathbf { 2 }\) | \(\mathbf { 3 }\) | \(\mathbf { 4 }\) | |
| Jess | 15 | 11 | 14 | 12 |
| Matt | 13 | 8 | 17 | 13 |
| Rachel | 14 | 9 | 13 | 15 |
| 1 | 2 | 3 | 4 | |
| Harry | 18 | 24 | 22 | 17 |
| Jess | 20 | 25 | 19 | - |
| Louis | 25 | 24 | 27 | 22 |
| Saul | 19 | 26 | 23 | 14 |
| Task A | Task B | Task C | |
| Worker P | 27 | 31 | 25 |
| Worker Q | 26 | 30 | 34 |
| Worker R | 35 | 29 | 32 |
| Task A | Task B | Task C | |
| Worker P | 33 | 37 | 31 |
| Worker Q | 32 | 36 | 40 |
| Worker R | 41 | 35 | 38 |
| 1 | 2 | 3 | 4 | 5 | |
| A | 129 | 127 | 122 | 134 | 135 |
| B | 127 | 125 | 123 | 131 | 132 |
| C | 142 | 131 | 121 | 140 | 139 |
| D | 127 | 127 | 122 | 131 | 136 |
| E | 141 | 134 | 129 | 144 | 143 |
| 1 | 2 | 3 | 4 | |
| Chris | 127 | 116 | 111 | 113 |
| James | 225 | 208 | 205 | 208 |
| Katie | 130 | 113 | 112 | 114 |
| Nicky | 228 | 212 | 203 | 210 |
| Task 1 | Task 2 | Task 3 | |
| Harriet | 251 | 243 | 257 |
| Jason | 244 | 247 | 255 |
| Katherine | 249 | 252 | 246 |
| 1 | 2 | 3 | 4 | |
| A | 29 | 15 | 32 | 30 |
| B | 34 | 26 | 40 | 32 |
| C | 28 | 27 | 35 | - |
| D | - | 21 | 33 | 31 |
| 1 | 2 | 3 | 4 | |
| A | 19 | 16 | 23 | - |
| B | 24 | - | 30 | 23 |
| C | 18 | 17 | 25 | 18 |
| D | 24 | 24 | 26 | 24 |
| A | B | C | D | Supply | |
| \(P\) | 11 | 22 | 13 | 17 | 25 |
| \(Q\) | 21 | 8 | 19 | 14 | 27 |
| \(R\) | 15 | 10 | 9 | 12 | 28 |
| Demand | 18 | 16 | 20 | 26 |
| 1 | 2 | 3 | 4 | |
| Alexa | 61 | 50 | 47 | 23 |
| Ewan | 71 | 62 | 20 | 61 |
| Faith | 70 | 49 | 48 | 49 |
| Zak | 72 | 68 | 67 | 67 |
| 1 | 2 | 3 | 4 | |
| \(A\) | 14 | 12 | 11 | 17 |
| \(B\) | 14 | 13 | 15 | 16 |
| \(C\) | 17 | 16 | 10 | 12 |
| \(D\) | 16 | 14 | 13 | 12 |
| \(E\) | 13 | 15 | 13 | 15 |
| \cline { 2 - 5 } \multicolumn{1}{c|}{} | 1 | 2 | 3 | 4 |
| Ann | 26 | 30 | 30 | 30 |
| Brenda | 30 | 23 | 26 | 29 |
| Connor | 30 | 25 | 27 | 24 |
| Dave | 30 | 27 | 25 | 21 |
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| Phil | 5 | 1 | 0 | 4 | ||||||||
| Rob | 1 | 6 | 1 | 2 | ||||||||
| Sam | 4 | 2 | 2 | 3 | ||||||||
| Tim | 3 | 5 | 0 | 0 |
| To | |||||
| \cline { 2 - 6 } | Amir | Bex | Cerys | Duncan | |
| \multirow{4}{*}{From} | Amir | - | 15 | 21 | 19 |
| \cline { 2 - 6 } | Bex | 20 | - | 16 | 14 |
| \cline { 2 - 6 } | Cerys | 25 | 12 | - | 16 |
| \cline { 2 - 6 } | Duncan | 24 | 10 | 18 | - |
| \cline { 2 - 6 } | |||||
| \cline { 2 - 6 } | |||||
| Pearl necklace | Ruby ring | Sapphire bracelet | |
| Butler | 80 | 100 | 20 |
| Cook | 40 | 35 | 60 |
| Gardener | 60 | 45 | 30 |
| Handyman | 20 | 100 | 80 |
| Nurse | Police officer | Radiographer | Teacher | |
| Jill Jenkins | 7 | 8 | 8 | 8 |
| Kevin Keast | 8 | 4 | 5 | 7 |
| Liz Lomax | 5 | 1 | 0 | 4 |
| Mike Mitchell | 8 | 3 | 4 | 4 |
| House 1 | House 2 | House 3 | House 4 | |
| Allclean | \(\pounds 500\) | \(\pounds 400\) | \(\pounds 700\) | \(\pounds 600\) |
| Brightenupp | \(\pounds 300\) | \(\pounds 200\) | \(\pounds 400\) | \(\pounds 350\) |
| Clean4U | \(\pounds 500\) | \(\pounds 300\) | \(\pounds 750\) | \(\pounds 680\) |
| \multirow{9}{*}{Postcard} | Adam | Barbara | Charlie | Donna | Edward | Fiona | ||
| Painted barges | \(P\) | 2 | 4 | 2 | 6 | 0 | 4 | |
| Quaint houses | \(Q\) | 3 | 5 | 3 | 5 | 3 | 4 | |
| Reichsmuseum | \(R\) | 6 | 7 | 6 | 6 | 6 | 8 | |
| Scenic view | \(S\) | 4 | 6 | 4 | 4 | 0 | 4 | |
| Tulips | \(T\) | 1 | 0 | 1 | 4 | 0 | 5 | |
| University | \(U\) | 3 | 4 | 4 | 4 | 3 | 3 | |
| View from air | \(V\) | 7 | 5 | 7 | 6 | 7 | 5 | |
| Windmills | \(W\) | 4 | 6 | 5 | 4 | 5 | 5 | |
| A | B | \(C\) | D | \(E\) | \(F\) | \(G\) | \(H\) | |
| \(P\) | 4 | 2 | 4 | 0 | 6 | 2 | 2 | 2 |
| \(Q\) | 2 | 0 | 2 | 0 | 2 | 1 | 1 | 1 |
| \(R\) | 2 | 1 | 2 | 2 | 2 | 0 | 4 | 4 |
| \(S\) | 2 | 0 | 2 | 2 | 6 | 2 | 2 | 2 |
| \(T\) | 4 | 5 | 4 | 1 | 5 | 0 | 1 | 1 |
| \(U\) | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| \(V\) | 0 | 2 | 0 | 1 | 0 | 2 | 3 | 3 |
| \(W\) | 2 | 0 | 1 | 2 | 1 | 1 | 2 | 2 |
| \multirow{6}{*}{Cadet} | \multirow[b]{3}{*}{
| 2330 | 0130 | 0330 | 0530 | 0730 | |||
| \(G\) | 8 | 0 | 7 | 1 | 1 | ||||
| H | 9 | 2 | 7 | 0 | 2 | ||||
| Ieuan | I | 10 | 4 | 9 | 3 | 5 | |||
| Jenni | \(J\) | 7 | 2 | 6 | 1 | 2 | |||
| Ken | \(K\) | 10 | 8 | 9 | 6 | 7 | |||
| 2330 | 0130 | 0330 | 0530 | 0730 | |
| \(G\) | 0 | 6 | 0 | 3 | 4 |
| \(H\) | 0 | 5 | 1 | 5 | 4 |
| \(I\) | 0 | 4 | 0 | 3 | 2 |
| \(J\) | 0 | 3 | 0 | 2 | 2 |
| \(K\) | 0 | 0 | 0 | 0 | 0 |
| Plastering | Rewiring | Shelving | Tiling | Upholstery | |
| Gill | 25 | 50 | 34 | 40 | 25 |
| Harry | 36 | 42 | 48 | 44 | 45 |
| Ivy | 27 | 50 | 45 | 42 | 26 |
| James | 40 | 46 | 28 | 45 | 50 |
| Kelly | 34 | 48 | 34 | 50 | 40 |
| Swim | Cycle | Run | |
| Fred | 30 | 75 | 48 |
| Gary | 25 | 82 | 45 |
| Helen | 45 | 76 | 53 |
| Isobel | 40 | 70 | 45 |
| \multirow{2}{*}{} | Task | |||
| Lighting | Sound | Trapeze | ||
| \multirow{4}{*}{Technician} | Amir | 86 | 88 | 90 |
| Bex | 92 | 94 | 95 | |
| Caz | 88 | 92 | 94 | |
| Dee | 98 | 100 | 98 | |
| \multirow{7}{*}{Trainer} | \multirow{2}{*}{} | City | |||
| London | Glasgow | Manchester | Swansea | ||
| Adam | 4 | 3 | 2 | 4 | |
| Betty | 3 | 5 | 4 | 2 | |
| Clive | 3 | 6 | 3 | 3 | |
| Dave | 2 | 6 | 4 | 3 | |
| Eleanor | 2 | 5 | 3 | 4 | |
| \cline { 2 - 4 } \multicolumn{1}{c|}{} | Maths | English | Verbal |
| Team 1 | 3 | 9 | 2 |
| Team 2 | 4 | 7 | 1 |
| Team 3 | 5 | 8 | 3 |
| Windows | Conservatory | Doors | Greenhouse | |
| Team A | 27 | 80 | 8 | 81 |
| Team B | 28 | 60 | 5 | 71 |
| Team C | 30 | 90 | 7 | 73 |