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In integer linear programming, the decision variables are constrained to take integer values. This adds an extra layer of complexity to the issue, since the feasible region turns into much more fragmented.
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Contrary to the earlier example, you can’t conveniently visualize this one because it has 4 decision variables. Nonetheless, the concepts continue to be a similar regardless of the dimensionality of the condition.
Output scheduling lets the exceptional realization of goal-dependent decisions to reduce inventory and manufacturing charges and optimize revenue. Even so, That is only feasible if relevant constraints may be rightly determined using linear programming.
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