Exploring the Application and Optimization Strategy of the LMBP Algorithm in Supply Chain Performance Evaluation

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Supply chain performance level score range</td><td class="align_center">Performance level</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">[0, 0.25]</td><td class="align_center">Poor</td></tr><tr><td class="align_left">[0.25, 0.50]</td><td class="align_center">Medium</td></tr><tr><td class="align_left">[0.50, 0.75]</td><td class="align_center">Good</td></tr><tr><td class="align_left">[0.75, 1]</td><td class="align_center">Excellent</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>An Enterprise supply chain performance score level division.</div>

Computational Intelligence and Neuroscience

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Table 1

Table 1: Exploring the Application and Optimization Strategy of the LMBP Algorithm in Supply Chain Performance Evaluation 