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Unformatted text preview: s the results of all of the calculations made thus far into a table as shown in Figure B. This table shows each tool group that is a mix-driven capacity constraint and the shift in volume that must occur between two products before that tool group actually constrains capacity. These volume shifts can be expressed in wafers, % of total production volume, or percent of either of the two products’ volumes. Rows in the table can then be sorted by any of these attributes, with the lowest values at the top. The uppermost tool groups, then, are those that, with the smallest shift in product mix, will become capacity constraints. 4. Step 4. Identifying Tool-Purchase Points The above analysis tells us the rate at which a shift in product mix increases a tool group’s capacity loading. But at what point will a shift in mix load the tool group to the point at which it will become a fab capacity constraint, necessitating the purchase of another tool? This question is answered using the following procedure: 1. 2. Run the forecast product-mix scenario through the model. For a tool group tha...
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This note was uploaded on 04/11/2011 for the course ECE 357 taught by Professor Subjolly during the Spring '11 term at National University of Ireland, Galway.
- Spring '11