A Multiobjective Iterated Greedy Algorithm for Truck Scheduling in Cross-Dock Problems

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td align="left">Factor</td><td align="center"><span style="width: 24.35px;"><svg height="11.175" id="M102" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 24.35 11.175" width="24.35" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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<g transform="matrix(.017,-0,0,-.017,.062,11.113)"><path d="M599 650l-18 -160l-30 -2q-2 70 -11 94q-5 16 -26 24t-75 8h-94q-27 0 -33.5 -6.5t-12.5 -32.5l-43 -226h108q52 0 72.5 5t31 18t28.5 52h28l-40 -200h-28q-1 42 -6 56.5t-24.5 21t-70.5 6.5h-108l-32 -177q-13 -65 1 -80.5t88 -22.5l-8 -28h-279l6 28q61 5 77.5 20.5
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</svg> value</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td align="left"><span style="width: 13.775px;"><svg height="11.175" id="M107" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 13.775 11.175" width="13.775" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.113)"><path d="M780 372q0 -191 -178 -297q-128 -75 -335 -75h-250l7 27q61 7 77 22t28 76l77 398q11 62 0 76.5t-77 22.5l6 28h292q164 0 258.5 -67.5t94.5 -210.5zM678 375q0 119 -73 180.5t-201 61.5q-62 0 -82 -13q-17 -7 -25 -53l-80 -427q-8 -47 -4 -62t26 -20q24 -6 80 -6
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</svg></span></td><td align="center">4</td><td align="center">0.1625</td><td align="center">0.0406</td><td align="center">0.80</td><td align="center">0.524</td></tr><tr><td align="left"><span style="width: 36px;"><svg height="14.875" id="M108" style="vertical-align:-5.04861pt" version="1.1" viewbox="0 0 36 14.875" width="36" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,7.675)"><path d="M495 86q-46 -47 -87 -72.5t-63 -25.5q-43 0 -16 107l49 210q7 34 8 50.5t-3 21t-13 4.5q-35 0 -109.5 -72.5t-115.5 -140.5q-21 -75 -38 -159q-50 -10 -76 -21l-6 8l84 340q8 35 -4 35q-17 0 -67 -46l-15 26q44 44 85.5 70.5t64.5 26.5q35 0 10 -103l-24 -98h2
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q0 -41 38 -68.5t94 -27.5q69 0 106.5 31t37.5 80q0 52 -45 71q-33 13 -98 13z" id="x67"></path></g><g transform="matrix(.012,-0,0,-.012,28.947,11.762)"><path d="M513 0h-211v26q44 5 55 17t11 60v166q0 123 -98 123q-59 0 -104 -51v-238q0 -48 10 -60.5t55 -16.5v-26h-213l1 26q46 4 57 16t11 61v477q0 48 -9.5 58.5t-58.5 14.5v24q63 9 147 35v-336q73 73 143 73q64 0 101 -42t37 -129v-175q0 -49 11 -61t55 -16v-26z" id="x68"></path></g>
</svg></span></td><td align="center">4</td><td align="center">0.4758</td><td align="center">0.1189</td><td align="center">2.35</td><td align="center">0.054</td></tr><tr><td align="left">Interaction</td><td align="center">16</td><td align="center">1.1571</td><td align="center">0.0723</td><td align="center">1.43</td><td align="center">0.125</td></tr><tr><td align="left">Error</td><td align="center">375</td><td align="center">18.9766</td><td align="center">0.0506</td><td align="center"> </td><td align="center"> </td></tr><tr><td align="center" colspan="6"><hr/></td></tr><tr><td align="left">Total</td><td align="center">399</td><td align="center">20.7720</td><td align="center"> </td><td align="center"> </td><td align="center"> </td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Analysis of variance (ANOVA) for a statistical significance test of the parameters on the hypervolume indicator values.

Journal of Industrial Engineering

tab5

Table 5

Table 5: A Multiobjective Iterated Greedy Algorithm for Truck Scheduling in Cross-Dock Problems 