Interval Forecasting in Supply Chain with Small Sample

<table class="fixed-width table-group" id="tab4"><tr><td><table class="table"><colgroup><col style="width:6.45em"/><col style="width:4.48em"/><col style="width:4.42em"/><col style="width:4.34em"/><col style="width:4.46em"/><col style="width:4.04em"/><col style="width:4.09em"/><col style="width:3.87em"/></colgroup><tr><td class="thead-hr" colspan="8"><hr/></td></tr><tr class="thead"><td class="align_left">Year</td><td class="align_center">2002</td><td class="align_center">2003</td><td class="align_center">2004</td><td class="align_center">2005</td><td class="align_center">2006</td><td class="align_center">2007</td><td class="align_center">2008</td></tr><tr><td class="thead-hr" colspan="8"><hr/></td></tr><tr><td class="align_left">Sales volume</td><td class="align_center">1047957</td><td class="align_center">1138440</td><td class="align_center">1091705</td><td class="align_center">1083829</td><td class="align_center">981984</td><td class="align_center">838822</td><td class="align_center">820161</td></tr><tr class="table-tr"><td colspan="8"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Actual data of the sales volume of registered printers in Taiwan by year.</div>

Mathematical Problems in Engineering

Interval Forecasting in Supply Chain with Small Sample

Table 4