Inexact genetic algorithm approach to target values setting of engineering requirements in QFD

DOI10.1080/0020754031000138367zbMath1059.90148OpenAlexW1983890553MaRDI QIDQ4671249

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Publication date: 26 April 2005

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

Full work available at URL: https://doi.org/10.1080/0020754031000138367

zbMATH Keywords

genetic algorithmfuzzy optimization modelengineering requirements

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (6)

An integrated approach for resource allocation in manufacturing plants ⋮ Reverse programming the optimal process mean problem to identify a factor space profile ⋮ Integrating customer's preferences in the QFD planning process using a combined benchmarking and imprecise goal programming model ⋮ An imprecise goal programming approach for modeling design team's preferences in quality function deployment planning process ⋮ Prioritizing quality characteristics in dynamic quality function deployment ⋮ Fuzzy expected value modelling approach for determining target values of engineering characteristics in QFD

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