Desirability Functions in Multiresponse Optimization

Date

2015

Author

Akteke-Öztürk, Başak
Weber, Gerhard-Wilhelm
Köksal, Gülser

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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.

Subject Keywords

Desirability function, Lower level problem, Direct search method, Individual desirability, Desirability function approach

URI

https://hdl.handle.net/11511/28327

Journal

Communications in Computer and Information Science

DOI

https://doi.org/10.1007/978-3-319-20352-2_9

Collections

Department of Industrial Engineering, Article

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Citation Formats

B. Akteke-Öztürk, G.-W. Weber, and G. Köksal, “Desirability Functions in Multiresponse Optimization,” Communications in Computer and Information Science, pp. 129–146, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/28327.