Research Article
Population Based Metaheuristic Algorithm Approach for Analysis of Multi-Item Multi-Period Procurement Lot Sizing Problem
Table 6
ACO performance results.
| Problem type | Run number | Item number | Order qty. (number) period 1 | Order qty. (number) period 2 | Order qty. (number) period 3 | Best sol. total cost (Rs) | Spread bet. best and worst solution | CPU time (Sec) |
| | 1 | 1 | 51 | 59 | 50 | 1159882 | 144660 | 12 | 2 | 1 | 51 | 59 | 50 | 1159882 | 144660 | 12 | 3 | 1 | 51 | 59 | 50 | 1159882 | 144660 | 12 | 4 | 1 | 51 | 59 | 50 | 1159882 | 144660 | 12 |
| | 1 | 1 | 40 | 120 | 0 | 1135500 | 121445 | 12 | 2 | 1 | 40 | 120 | 0 | 1135500 | 121445 | 12 | 3 | 1 | 40 | 120 | 0 | 1135500 | 121445 | 12 | 4 | 1 | 40 | 120 | 0 | 1135500 | 121445 | 12 |
| | 1 | 1 | 51 | 59 | 50 | 3215982 | 336700 | 20 | 2 | 130 | 110 | 140 | 2 | 1 | 51 | 59 | 50 | 3215982 | 336700 | 20 | 2 | 130 | 110 | 140 | 3 | 1 | 51 | 59 | 50 | 3215982 | 336700 | 20 | 2 | 130 | 110 | 140 | 4 | 1 | 51 | 59 | 50 | 3215982 | 336700 | 20 | 2 | 130 | 110 | 140 |
| | 1 | 1 | 40 | 120 | 0 | 3494700 | 316015 | 22 | 2 | 130 | 110 | 140 | 2 | 1 | 40 | 120 | 0 | 3494700 | 316015 | 22 | 2 | 130 | 110 | 140 | 3 | 1 | 40 | 120 | 0 | 3494700 | 316015 | 22 | 2 | 130 | 110 | 140 | 4 | 1 | 40 | 120 | 0 | 3494700 | 316015 | 22 | 2 | 130 | 110 | 140 |
| | 1 | 1 | 42 | 118 | 131 | 7015841 | 493352 | 40 | 2 | 131 | 120 | 129 | 3 | 361 | 208 | 271 | 2 | 1 | 40 | 120 | 0 | 7010875 | 497825 | 40 | 2 | 134 | 108 | 138 | 3 | 372 | 468 | 00 | 3 | 1 | 43 | 117 | 0 | 7017807. | 485675 | 40 | 2 | 138 | 102 | 140 | 3 | 372 | 468 | 0 | 4 | 1 | 41 | 119 | 0 | 7021825 | 491372 | 40 | 2 | 130 | 110 | 140 | 3 | 377 | 426 | 377 |
| | 1 | 1 | 41 | 103 | 16 | 8070056.25 | 487646.25 | 62 | 2 | 141 | 109 | 130 | 3 | 375 | 214 | 251 | 4 | 270 | 0 | 0 | 2 | 1 | 60 | 53 | 47 | 8072996.25 | 469560.0 | 62 | 2 | 139 | 103 | 138 | 3 | 361 | 414 | 65 | 4 | 270 | 0 | 0 | 3 | 1 | 51 | 109 | 0 | 8082756.25 | 485410.0 | 62 | 2 | 144 | 112 | 124 | 3 | 377 | 401 | 62 | 4 | 270 | 0 | 0 | 4 | 1 | 54 | 106 | 0 | 8073832.5 | 489540.0 | 62 | 2 | 131 | 116 | 133 | 3 | 380 | 402 | 58 | 4 | 270 | 0 | 0 |
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| 1 | 1 | 160 | 0 | 0 | 15718292 | 755940.25 | 75 | 2 | 380 | 0 | 0 | 3 | 361 | 244 | 235 | 4 | 270 | 0 | 0 | 5 | 756 | 654 | 475 | 2 | 1 | 51 | 109 | 0 | 16447257 | 720387.5 | 75 | 2 | 159 | 211 | 10 | 3 | 370 | 233 | 237 | 4 | 270 | 0 | 0 | 5 | 671 | 756 | 458 | 3 | 1 | 157 | 3 | 0 | 15726613 | 745871.25 | 75 | 2 | 380 | 0 | 0 | 3 | 365 | 211 | 264 | 4 | 110 | 144 | 16 | 5 | 815 | 504 | 566 | 4 | 1 | 53 | 107 | 0 | 15702395 | 766744 | 75 | 2 | 153 | 227 | 0 | 3 | 307 | 253 | 280 | 4 | 270 | 0 | 0 | 5 | 663 | 711 | 511 |
| | 1 | 1 | 46 | 114 | 0 | 25321202.5 | 645500.0 | 80 | 2 | 153 | 210 | 17 | 3 | 377 | 411 | 52 | 4 | 260 | 6 | 4 | 5 | 628 | 721 | 536 | 6 | 480 | 413 | 432 | 2 | 1 | 72 | 55 | 33 | 25331901 | 622969 | 80 | 2 | 160 | 220 | 11 | 3 | 377 | 380 | 83 | 4 | 268 | 2 | 0 | 5 | 635 | 648 | 602 | 6 | 444 | 425 | 456 | 3 | 1 | 52 | 108 | 0 | 25324673 | 651288.75 | 80 | 2 | 203 | 161 | 16 | 3 | 364 | 262 | 214 | 4 | 104 | 146 | 20 | 5 | 616 | 680 | 589 | 6 | 429 | 440 | 456 | 4 | 1 | 42 | 118 | 0 | 25301616 | 680659 | 80 | 2 | 201 | 179 | 0 | 3 | 366 | 244 | 230 | 4 | 270 | 0 | 0 | 5 | 637 | 658 | 590 | 6 | 426 | 456 | 443 |
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