Generalization of Yield Optimization Problem: Maximum Income Approach
- 1 April 1986
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- Vol. 5 (2), 346-360
- https://doi.org/10.1109/tcad.1986.1270204
Abstract
An approach to statistical design centering (SDC) based on a simple generalization of the production yield concept is introduced, leading to a new figure of merit called the "income index." The measure can be considered as a simple model of the manufacturer's income or as a parameter characterizing the average quality of the manufacturing process. The income index takes into account the "price" (or "quality") decrease of inferior and the "price" (or "quality") increase of superior designs. The method is especially effective in improving quality of the designs characterized by large production yield. It can also handle the problems where the circuit specifications are negotiable or not exactly known, thus extending the area of SDC applications. For the implementation of the proposed method the existing gradient algorithms of yield optimization can be used after only minor modifications of gradient calculating subroutines and practically negligible additional computational costs.Keywords
This publication has 5 references indexed in Scilit:
- Stochastic approximation method with gradient averaging for unconstrained problemsIEEE Transactions on Automatic Control, 1983
- Stochastic approximation approach to statistical circuit designElectronics Letters, 1983
- Design centering by yield predictionIEEE Transactions on Circuits and Systems, 1982
- Multiple criterion optimization with yield maximizationIEEE Transactions on Circuits and Systems, 1981
- A survey of optimization techniques for integrated-circuit designProceedings of the IEEE, 1981