A Multi-Scenario Optimization Model for Emergency Cold Chain Logistics Distribution

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Case</td><td class="align_center"><svg height="8.55521pt" id="M162" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -8.34882 11.2563 8.55521" width="11.2563pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M352 391C352 416 319 448 267 448C236 448 173 423 147 400C107 364 96 332 96 304C96 248 143 210 193 181C241 153 258 124 258 100C258 72 232 38 184 38C151 38 107 66 81 108C77 114 64 116 55 111C34 99 23 84 23 65C23 29 81 -12 134 -12C220 -12 325 61 325 141C325 184 297 215 234 256C194 282 161 309 161 346C161 380 188 401 217 401C255 401 279 380 301 353C308 344 313 341 325 347C341 355 352 371 352 391Z"></path></g><g transform="matrix(.013,0,0,-0.013,4.875,0)"><path d="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 583V559L157 557C201 555 205 550 205 499V114C205 42 199 34 109 27V0H384Z"></path></g></svg> realized (CNY)</td><td class="align_center"><svg height="8.55521pt" id="M163" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -8.34882 11.2563 8.55521" width="11.2563pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M352 391C352 416 319 448 267 448C236 448 173 423 147 400C107 364 96 332 96 304C96 248 143 210 193 181C241 153 258 124 258 100C258 72 232 38 184 38C151 38 107 66 81 108C77 114 64 116 55 111C34 99 23 84 23 65C23 29 81 -12 134 -12C220 -12 325 61 325 141C325 184 297 215 234 256C194 282 161 309 161 346C161 380 188 401 217 401C255 401 279 380 301 353C308 344 313 341 325 347C341 355 352 371 352 391Z"></path></g><g transform="matrix(.013,0,0,-0.013,4.875,0)"><path d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 193 193C144 135 87 78 32 23V0H405C417 45 427 89 440 131L412 140Z"></path></g></svg> realized (CNY)</td><td class="align_center"><svg height="8.55521pt" id="M164" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -8.34882 11.2563 8.55521" width="11.2563pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M352 391C352 416 319 448 267 448C236 448 173 423 147 400C107 364 96 332 96 304C96 248 143 210 193 181C241 153 258 124 258 100C258 72 232 38 184 38C151 38 107 66 81 108C77 114 64 116 55 111C34 99 23 84 23 65C23 29 81 -12 134 -12C220 -12 325 61 325 141C325 184 297 215 234 256C194 282 161 309 161 346C161 380 188 401 217 401C255 401 279 380 301 353C308 344 313 341 325 347C341 355 352 371 352 391Z"></path></g><g transform="matrix(.013,0,0,-0.013,4.875,0)"><path d="M285 378C315 398 338 416 353 432C373 451 384 474 384 503C384 579 325 635 236 635H235C182 635 136 610 108 579L65 516L85 496C110 533 150 575 205 575C258 575 300 543 300 481C300 407 232 369 141 339L147 310C163 315 188 321 211 321C268 321 338 284 338 192C338 94 288 40 217 40C160 40 119 68 93 91C85 98 77 97 69 91C60 84 47 71 46 58C44 46 48 35 62 22C75 10 116 -12 162 -12C234 -12 424 62 424 224C424 297 373 359 285 376V378Z"></path></g></svg> realized (CNY)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Case <a href="https://static-preview.hindawi.com/articles/mpe/volume-2021/1628162/figures/#casee1" target="_blank">1</a></td><td class="align_center">653</td><td class="align_center">1073</td><td class="align_center">1893</td></tr><tr><td class="align_left">Case <a href="https://static-preview.hindawi.com/articles/mpe/volume-2021/1628162/figures/#casee2" target="_blank">2</a></td><td class="align_center">649</td><td class="align_center">1069</td><td class="align_center">1889</td></tr><tr><td class="align_left">Case <a href="https://static-preview.hindawi.com/articles/mpe/volume-2021/1628162/figures/#casee3" target="_blank">3</a></td><td class="align_center">985</td><td class="align_center">985</td><td class="align_center">1805</td></tr><tr><td class="align_left">Benchmark 1</td><td class="align_center">606</td><td class="align_center">1106</td><td class="align_center">1926</td></tr><tr><td class="align_left">Benchmark 2</td><td class="align_center">1246</td><td class="align_center">746</td><td class="align_center">1566</td></tr><tr><td class="align_left">Benchmark 3</td><td class="align_center">19906</td><td class="align_center">19406</td><td class="align_center">18586</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

tab8

Table 8

Table 8: A Multi-Scenario Optimization Model for Emergency Cold Chain Logistics Distribution 