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Quantitative Layout Analysis - Correlation Chart
In this technique we draw a gird with rows presenting alternative solutions. Plant item can be a ground floor (G >F) First floor (FF) or second floor (SF) or other floors like TF,FF, and FTF and so on.After the gird is draw the next step involves identifying the objective and constraints of the same to find out the better layout. For example the constraints may be
These constraints objectives are then filled in the squares of the grid. The way in which we have to apply these codes is when a constraint stops an item going in to a square, the number or that constraint is marked. After that the objectives or preferences are applied and the number of that preference or objective is filled in the corresponding square. Suppose the given objective is product W is restricted to second floor. (SF) it cannot be done on other floors. Hence the identification number of this objective, i.e. 3 is written in all squares except SF. Similarly other objectives are marked on the gird. A line PQ gives a feasible solution of the layout problem. Thus line is traced along the gird rows from the first plant item to the last item by joining open squares (where no number is entered). The possible solution is:
WFF -XSF- ZGF- YSF
Backward Integration A strategy in which an organization builds competitive benefits by controlling the provider of the raw materials needed to make its products.
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