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<p><a class='wikilink' href='../Main/HomePage.html'>Main</a> &gt; <span class='wikitrail'><a class='wikilink' href='Main.html'>Reference Manual</a> > <a class='wikilink' href='Test.html'>Unit tests</a> > <a class='selflink' href='TestLPSolver1.html'>TestLPSolver1</a></span>
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<p class='vspace'>This test shows how the linear programming solver is used to solve a capacity allocation problem in an optimal way.
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<p class='vspace'>The problem input consists of:
</p><ul><li>A set of time buckets.
</li><li>A set of demands, each with a due bucket, a quantity and a priority.
</li><li>A set of resources, each with an available capacity per time bucket.
</li><li>A set of loads, i.e. demands requiring some time on one or more resources.
</li></ul><p class='vspace'>The problem is subject to the following constraints:
</p><ul><li>For each time bucket and each resource:<br />  sum of capacity used by each demand &lt;= capacity available in the resource bucket
</li><li>For each demand:<br />  sum of planned quantities in different buckets &lt;= requested demand quantity
</li></ul><p class='vspace'>The LP problem solves for a hierarchy of goals.
</p><ul><li>Minimize the shortness of demand of priorities 1, 2 and 3
</li><li>Minimize the lateness of demand of priorities 1, 2 and 3
</li><li>Minimize the early use of capacity (ie use capacity before the due date)
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