| Publisher | University of Southern California | ||
|---|---|---|---|
| Format | 172.3KB PDF | Date added | 14 Apr 2006 |
| Topics | Methodology | ||
| Downloads | 2 | ||
A formal scheduling methodology is introduced for batch processes based on fuzzy logic theory. In particular, this methodology is presented in the manufacturing context. The approach takes into account most, if not all, relevant factors in this scheduling problem and models them as fuzzy sets. In the model developed for factory batch process scheduling, the inputs include the "Literal" job priority, job's critical ratio, the length of each queue, job's current relative position in its process flow, etc. The model outputs the effective priority value for each queue, based upon which scheduling decisions are made.
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