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Responsflademetodologi med ønskværdighedsfunktionsoptimering

Responsflademodellering (RSM) er et sæt statistiske og matematiske teknikker til modellering og optimering af processer med flere input (faktorer) og output (responser). Ønskværdighedsfunktionsmetoden, introduceret af Harrington (1965) og raffineret af Derringer og Suich (1980), udvider RSM til at løse multi-respons optimeringsproblemer ved at kombinere konkurrerende mål til et enkelt indeks. Denne metodologi er essentiel i produkt- og procesudvikling, hvor ingeniører skal afbalancere ydeevne, omkostninger og pålidelighed.

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Kilder

  1. Box, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, 13(1), 1-45. DOI: 10.1111/j.2517-6161.1951.tb00067.x
  2. Harrington, E. C. (1965). The desirability function. Journal of Quality Technology, 4(6), 494-509. link
  3. Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214-219. DOI: 10.1080/00224065.1980.11980968
  4. Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response Surface Methodology: Process and Product Optimization Using Designed Experiments (3rd ed.). Wiley. link

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ScholarGate. (2026, June 3). Response Surface Methodology with Desirability Function Optimization. ScholarGate. https://scholargate.app/da/reliability-engineering/response-surface-desirability-function

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ScholarGateResponse Surface Desirability Function (Response Surface Methodology with Desirability Function Optimization). Hentet 2026-06-15 fra https://scholargate.app/da/reliability-engineering/response-surface-desirability-function · Datasæt: https://doi.org/10.5281/zenodo.20539026