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Desirability Functions in Multiresponse Optimization

  • Başak Akteke-ÖztürkEmail author
  • Gerhard-Wilhelm Weber
  • Gülser Köksal
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 499)

Abstract

Desirability functions (DFs) play an increasing role for solving the optimization of process or product quality problems having various quality characteristics to obtain a good compromise between these characteristics. There are many alternative formulations to these functions and solution strategies suggested for handling their weaknesses and improving their strength. Although the DFs of Derringer and Suich are the most popular ones in multiple-response optimization literature, there is a limited number of solution strategies to their optimization which need to be updated with new research results obtained in the area of nonlinear optimization.

Keywords

Desirability Function Lower Level Problem Direct Search Method Individual Desirability Desirability Function Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Başak Akteke-Öztürk
    • 1
    Email author
  • Gerhard-Wilhelm Weber
    • 2
  • Gülser Köksal
    • 1
  1. 1.Department of Industrial EngineeringMETUAnkaraTurkey
  2. 2.Institute of Applied MathematicsMETUAnkaraTurkey

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