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The Distribution constraint requires that given
an attribute value and a bin size the distribution
of the attribute value across bins should be
uniform.
Let us take the example of an automotive assembly
line. The attribute value is 'deluxe car' and
the bin size is one day. Given this attribute
value and bin size, the 'one pass' method will
produce the solution in the chart below:
One Pass Sequence
(1 Row = 1 Day, Red Band = Deluxe Car)
The one pass solution clearly
fails to observe the distribution constraint.
Each row in the chart corresponds to a day -
the four rows represent 4 days. Each red band
represents a deluxe car. The distribution of
deluxe cars is uneven with a different number
each day. The objective of distributing cars
uniformly across bins has not been met.
Now let's look at the solution from Optessa MLS:
Optessa MLS Sequence
The Optessa MLS solution distributes
the deluxe cars evenly across bins so that four
deluxe cars appear in each row, that is, each
day. The distribution constraint is thus taken
into account and is observed in the sequence
generated by Optessa MLS.
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