Incorporating a Bayesian Network into Two-Stage Stochastic Programming for Blood Bank Location-Inventory Problem in Case of Disasters

<table class="fixed-width table-group" id="tab23"><tr><td><table class="table"><colgroup><col style="width:9.13em"/><col style="width:5.04em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Potential epicenters</td><td class="align_center">Hospitals</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Wenchuan</td><td class="align_center">WPH</td></tr><tr><td class="align_left">Beichuan</td><td class="align_center">BPH</td></tr><tr><td class="align_left">Maoxian</td><td class="align_center">WPH</td></tr><tr><td class="align_left">Lushan</td><td class="align_center">WCH</td></tr><tr><td class="align_left">Pingwu</td><td class="align_center">BPH</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The one-to-one match between potential epicenters and hospitals.</div>

Discrete Dynamics in Nature and Society

tab23

Table 23

Table 23: Incorporating a Bayesian Network into Two-Stage Stochastic Programming for Blood Bank Location-Inventory Problem in Case of Disasters 