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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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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.