CMMPS9 - Loaded Dice Roll 1 2 3 4 5 6 Die 1 0.1 0.2 0.4 0.7...

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Unformatted text preview: Loaded Dice Roll 1 2 3 4 5 6 Die 1 0.1 0.2 0.4 0.7 0.9 1 300 Die 2 0.3 0.4 0.6 0.7 0.75 1 Die 1 0.1 0.1 0.2 0.3 0.2 0.1 Die 2 0.3 0.1 0.2 0.1 0.05 0.25 Roll Probability Die 1 Die 2 1 0.12 0.31 2 0 0.1 3 0.24 0.22 4 0.31 0.12 5 0.14 0.05 6 0.09 0.19 Number of Simulations Com m andBut Run Loaded Dice Die 1 1 3 4 1 1 3 2 2 1 4 1 4 4 3 6 3 2 1 3 4 2 2 6 6 4 4 5 3 5 3 5 2 3 2 2 6 3 3 5 Die 2 3 6 6 1 3 1 4 6 4 5 1 1 1 4 3 3 3 4 2 1 2 6 3 1 3 3 4 3 6 3 1 6 5 3 6 4 3 6 6 Sum 4 9 10 2 4 4 6 8 5 9 2 5 5 7 9 6 5 5 5 5 4 8 9 7 7 7 9 6 11 6 6 8 8 5 8 10 6 9 11 Roll 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 4 4 5 4 5 3 3 4 4 5 3 6 4 5 4 4 6 1 5 4 3 4 3 4 2 1 2 5 3 1 3 3 4 3 5 3 6 4 4 3 4 4 3 4 5 4 4 3 6 4 6 2 4 1 4 2 3 5 4 4 4 3 1 4 1 2 4 1 3 2 2 6 4 4 3 6 6 1 4 1 1 1 2 3 5 1 1 2 3 3 1 2 4 1 3 2 1 5 6 6 6 6 4 3 4 1 3 3 6 6 6 6 1 3 2 1 4 5 8 8 8 5 9 4 5 8 5 8 5 8 10 9 8 7 12 7 6 8 4 5 4 6 5 6 3 6 5 4 6 4 6 7 6 6 8 5 9 9 10 10 9 8 8 8 5 6 9 10 12 8 10 2 7 4 4 9 9 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 4 3 4 4 1 4 6 1 6 3 3 4 6 6 2 3 3 5 2 4 5 3 2 6 4 5 5 4 5 4 3 4 1 3 3 4 5 5 4 1 3 3 6 4 4 1 4 4 6 2 4 5 4 3 5 3 2 5 3 1 4 6 1 1 4 6 4 2 6 2 2 6 3 6 3 4 1 4 6 6 1 1 3 6 2 1 1 2 5 6 3 1 2 6 5 1 2 6 2 3 3 2 6 1 1 1 1 4 6 6 3 6 6 1 1 1 1 3 5 7 10 5 2 8 12 5 8 9 5 6 12 9 8 6 7 6 6 10 11 4 3 9 10 7 6 5 7 9 9 7 2 5 9 9 6 7 10 3 6 6 8 10 5 2 5 5 10 8 10 8 10 9 6 4 3 6 6 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 5 4 4 1 4 5 4 6 6 3 5 3 2 1 3 4 5 3 1 3 4 4 2 2 5 2 3 4 3 5 1 1 1 2 4 4 5 4 4 4 6 1 1 6 3 4 4 3 5 6 3 5 6 3 2 5 1 4 4 6 4 2 1 1 3 1 1 2 1 6 1 5 5 1 2 4 1 3 1 4 6 3 6 1 1 3 1 3 1 3 3 3 4 1 2 3 3 4 1 1 3 4 1 2 5 6 4 1 1 1 1 1 6 1 1 3 1 1 11 8 6 2 5 8 5 7 8 4 11 4 7 6 4 6 9 4 4 4 8 10 5 8 6 3 6 5 6 6 4 4 4 6 5 6 8 7 8 5 7 4 5 7 5 9 10 7 6 7 4 6 7 9 3 6 4 5 5 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 2 3 4 1 4 3 4 1 4 1 3 2 4 2 4 3 4 4 4 5 1 3 4 4 5 2 1 4 4 3 4 5 6 5 3 3 3 3 3 1 2 3 4 2 2 4 3 3 2 4 2 5 5 3 2 4 3 3 4 2 1 1 1 3 1 5 4 2 1 3 2 1 3 4 1 1 1 1 3 5 6 3 6 3 6 1 3 1 1 1 3 3 6 3 5 6 6 1 2 2 6 6 6 3 1 4 6 3 4 1 1 1 4 3 3 3 3 2 4 4 5 2 7 4 9 5 6 2 6 4 5 5 8 4 5 5 5 8 6 9 7 10 8 8 2 7 5 4 5 8 9 11 6 8 9 9 4 3 4 9 10 8 5 5 7 9 5 8 3 6 6 7 5 7 6 6 6 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 4 3 3 1 1 4 5 1 4 6 4 1 3 4 3 3 2 4 4 6 4 5 6 5 1 1 2 6 3 1 3 3 3 3 6 3 1 5 4 3 6 4 3 5 6 1 1 1 6 1 5 5 9 4 2 7 8 4 7 12 7 2 8 8 6 9 6 7 9 12 5 6 7 11 2 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 Draft program to run Gas Inventory Problem; GWF Ch. 5.4 Peter Wilcock, 4/17/2007 DelCost 750 137.2 0.1 StorCost 0.01 2.5 0.3 NumDays 100 55.8 0.3 NumSim 100 Mean Daily Cost Number Dry Days DelGal 20000 Trigger 1700 138.08 137.3 137.76 137.17 ProbGal Gal 135.89 0.00 1000 135.3 0.01 1100 137.75 0.03 1200 138.32 0.08 1300 139.21 0.20 1400 138.43 0.40 1500 135.99 0.67 1600 139.59 0.85 1700 136.19 0.93 1800 137.56 0.97 1900 139.9 1.00 2000 136.45 1533.9 Average over NumSim simulations 17.8 Std Deviation over NumSim simulations 86.1 Coef. Variation over NumSim simulations Mean Daily Consumption 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1517.02 1559.95 1700 and delivery at 20,000 gallons is about the 1524.19 optimal values in order to minimize storage costs. 1522.77 1534.18 In order to minimize dry days the trigger needs to 1566.07 1549.32 be above the mean daily use in order to insure 1533.82 1529.79 there is still gas to cover until the delivery arrives. 1515.18 1529.51 Then, your deliveries should be failry large 1523.96 1548.35 because the cost of delivery of gas is the same as 1520.24 1515.12 storring 100,000 gallons of gas for one day. So 1572.24 you know that your delivery needs to be several 4dd5c1f9562bcc4cf8eb2f846e8693c7216f3fbe.xls, 05/12/2009 ...
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This homework help was uploaded on 04/09/2008 for the course ENVIRONMEN 570.210 taught by Professor Wilcock during the Spring '07 term at Johns Hopkins.

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