A case study on process optimization using the gradient loss function

DOI10.1080/00207549508904871zbMath0912.90076OpenAlexW2016866983WikidataQ59325419 ScholiaQ59325419MaRDI QIDQ4399122

Unnamed Author, Elsayed A. Elsayed

Publication date: 2 May 1999

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207549508904871

zbMATH Keywords

robustness to noisemulti-objective problemprocess optimizationmulti-responsegradient loss function

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Application models in control theory (93C95) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items (1)

Otimização de experimentos com variáveis de resposta descritas por perfis

Cites Work

• Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios

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