Product and process yield estimation with Gaussian quadrature (GQ) reduction: Improvements over the GQ full factorial approach

DOI10.1016/S0377-2217(01)00217-XzbMath0998.90030OpenAlexW1979005749WikidataQ126982732 ScholiaQ126982732MaRDI QIDQ1848586

Songquan Liu, Paul V. Preckel, Herbert Moskowitz, Robert D. Plante

Publication date: 13 November 2002

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(01)00217-x

zbMATH Keywords

Gaussian quadraturemanufacturing yield

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Management decision making, including multiple objectives (90B50) Production models (90B30)

Uses Software

• GAMS

Cites Work

• Unnamed Item
• Unnamed Item
• Multicriteria models for the allocation of design parameter targets
• Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios
• The simplicial approximation approach to design centering
• Discrete Approximations of Probability Distributions
• Numerical Evaluation of Multiple Integrals

This page was built for publication: Product and process yield estimation with Gaussian quadrature (GQ) reduction: Improvements over the GQ full factorial approach