Hi,
I am looking for some help in how to structure an optimization model. I have a small data set and I am trying to figure out a max value problem. I have 131 Items each belonging to a different category (A,B,C,D or E) with a specific price and set value. For this model I have a budget of 60,000 that I must spend to select 8 items (1 from A, 1 from B, 1 from C, 1 from D, 1 from E, 1 from B or D, 1 from C or E, and 1 from Any Category). I am wondering if there is any way to have a model use those criteria to pick a set of combinations that will provide the maximum value. If anyone has any advice or suggestions their help would be greatly appreciated. Please take a look at the sheet I have attached.
Thanks,
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I am looking for some help in how to structure an optimization model. I have a small data set and I am trying to figure out a max value problem. I have 131 Items each belonging to a different category (A,B,C,D or E) with a specific price and set value. For this model I have a budget of 60,000 that I must spend to select 8 items (1 from A, 1 from B, 1 from C, 1 from D, 1 from E, 1 from B or D, 1 from C or E, and 1 from Any Category). I am wondering if there is any way to have a model use those criteria to pick a set of combinations that will provide the maximum value. If anyone has any advice or suggestions their help would be greatly appreciated. Please take a look at the sheet I have attached.
Thanks,
Price | Value | Identifier | Category | Selections | ||||||
10900 | 45.94 | 1 | A | Category | Identifier | Value | Price (Budget $60,000) | |||
8900 | 41.31 | 2 | A | A | ||||||
7900 | 38.77 | 3 | A | B | ||||||
9000 | 37.07 | 4 | A | C | ||||||
9100 | 35.04 | 5 | A | D | ||||||
8000 | 33.93 | 6 | A | E | ||||||
8100 | 31.6 | 7 | A | B or D | ||||||
6700 | 28.81 | 8 | A | C or E | ||||||
6800 | 26.76 | 9 | A | Any | ||||||
6800 | 25.15 | 10 | A | |||||||
6900 | 24.08 | 11 | A | |||||||
6700 | 23.17 | 12 | A | |||||||
4000 | 22.39 | 13 | A | |||||||
4300 | 20.87 | 14 | A | |||||||
5300 | 20.29 | 15 | A | |||||||
4000 | 18.68 | 16 | A | |||||||
4800 | 17.52 | 17 | A | |||||||
3000 | 11.98 | 18 | A | |||||||
3000 | 11.51 | 19 | A | |||||||
3000 | 6.463 | 20 | A | |||||||
4300 | 0 | 21 | A | |||||||
3000 | 0 | 22 | A | |||||||
11100 | 42.5 | 23 | B | |||||||
7200 | 33.26 | 24 | B | |||||||
9200 | 31.83 | 25 | B | |||||||
6300 | 30.06 | 26 | B | |||||||
5200 | 21.73 | 27 | B | |||||||
4200 | 19.34 | 28 | B | |||||||
4000 | 19.14 | 29 | B | |||||||
4500 | 18.81 | 30 | B | |||||||
4900 | 17.8 | 31 | B | |||||||
5300 | 17.56 | 32 | B | |||||||
4200 | 15.82 | 33 | B | |||||||
3300 | 14.6 | 34 | B | |||||||
5800 | 14.18 | 35 | B | |||||||
4500 | 14.08 | 36 | B | |||||||
4400 | 12.95 | 37 | B | |||||||
3000 | 12.76 | 38 | B | |||||||
3000 | 12.17 | 39 | B | |||||||
4800 | 11.91 | 40 | B | |||||||
3400 | 11.87 | 41 | B | |||||||
3600 | 9.417 | 42 | B | |||||||
3300 | 8.496 | 43 | B | |||||||
3600 | 7.475 | 44 | B | |||||||
3000 | 2.603 | 45 | B | |||||||
4200 | 0 | 46 | B | |||||||
5800 | 0 | 47 | B | |||||||
6300 | 0 | 48 | B | |||||||
5000 | 0 | 49 | B | |||||||
10500 | 44.63 | 50 | C | |||||||
10200 | 39.44 | 51 | C | |||||||
8400 | 39.11 | 52 | C | |||||||
7100 | 32.34 | 53 | C | |||||||
7000 | 30.73 | 54 | C | |||||||
6400 | 30.65 | 55 | C | |||||||
5300 | 30.18 | 56 | C | |||||||
6000 | 28.32 | 57 | C | |||||||
4800 | 25.57 | 58 | C | |||||||
5400 | 23.75 | 59 | C | |||||||
6500 | 21.94 | 60 | C | |||||||
6300 | 21.89 | 61 | C | |||||||
5300 | 20.58 | 62 | C | |||||||
5000 | 20.52 | 63 | C | |||||||
4800 | 20.18 | 64 | C | |||||||
3800 | 19.41 | 65 | C | |||||||
3100 | 16.59 | 66 | C | |||||||
3000 | 15.73 | 67 | C | |||||||
5200 | 14.53 | 68 | C | |||||||
3800 | 13.63 | 69 | C | |||||||
3700 | 13.59 | 70 | C | |||||||
3000 | 13.29 | 71 | C | |||||||
3000 | 10.1 | 72 | C | |||||||
3000 | 8.579 | 73 | C | |||||||
3200 | 5.13 | 74 | C | |||||||
3000 | 0 | 75 | C | |||||||
8300 | 34.35 | 76 | D | |||||||
7700 | 33.01 | 77 | D | |||||||
7200 | 30.37 | 78 | D | |||||||
6400 | 27.26 | 79 | D | |||||||
7300 | 26.87 | 80 | D | |||||||
6200 | 25.89 | 81 | D | |||||||
4800 | 25.88 | 82 | D | |||||||
5300 | 24.01 | 83 | D | |||||||
4900 | 21.42 | 84 | D | |||||||
3900 | 20.43 | 85 | D | |||||||
3600 | 19.43 | 86 | D | |||||||
5000 | 18.89 | 87 | D | |||||||
4300 | 18.76 | 88 | D | |||||||
5100 | 18.26 | 89 | D | |||||||
3400 | 18.26 | 90 | D | |||||||
4900 | 17.78 | 91 | D | |||||||
4000 | 17.6 | 92 | D | |||||||
3900 | 17.44 | 93 | D | |||||||
4900 | 16.36 | 94 | D | |||||||
3600 | 10.33 | 95 | D | |||||||
3000 | 10.25 | 96 | D | |||||||
3000 | 9.216 | 97 | D | |||||||
3500 | 8.584 | 98 | D | |||||||
3500 | 6.543 | 99 | D | |||||||
3000 | 5.966 | 100 | D | |||||||
3000 | 4.916 | 101 | D | |||||||
3000 | 0 | 102 | D | |||||||
3200 | 0 | 103 | D | |||||||
3000 | 0 | 104 | D | |||||||
11500 | 42.06 | 105 | E | |||||||
8600 | 37.97 | 106 | E | |||||||
8500 | 34.52 | 107 | E | |||||||
6500 | 31.23 | 108 | E | |||||||
6400 | 30.43 | 109 | E | |||||||
5700 | 28.54 | 110 | E | |||||||
5600 | 26.89 | 111 | E | |||||||
5000 | 26.08 | 112 | E | |||||||
5800 | 25.61 | 113 | E | |||||||
5400 | 23.7 | 114 | E | |||||||
4700 | 20.78 | 115 | E | |||||||
5300 | 20.25 | 116 | E | |||||||
3900 | 19.98 | 117 | E | |||||||
4500 | 18.24 | 118 | E | |||||||
4200 | 17.41 | 119 | E | |||||||
4100 | 16.72 | 120 | E | |||||||
3300 | 15.53 | 121 | E | |||||||
3700 | 12.73 | 122 | E | |||||||
3600 | 10.31 | 123 | E | |||||||
3000 | 10.18 | 124 | E | |||||||
3400 | 9.947 | 125 | E | |||||||
3000 | 7.172 | 126 | E | |||||||
3000 | 4.698 | 127 | E | |||||||
3000 | 3.156 | 128 | E | |||||||
3000 | 2.664 | 129 | E | |||||||
6300 | 0 | 130 | E | |||||||
5700 | 0 | 131 | E |
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