 On the generation and selection of solutions to multiple response problemsNuno Ricardo Costa and João Lourenço International Journal of Industrial and Systems Engineering, 2015, vol. 20, issue 4, 437-456 Abstract: Methods to solve multi-response problems developed under the RSM framework are rarely evaluated in terms of their ability to depict Pareto frontiers and their solutions do not provide information about response properties. This manuscript contributes for positioning some optimisation methods in relation to each other based on their ability to capture solutions in convex and non-convex surfaces in addition to the robustness, quality of predictions and bias of the generated solutions. Results show that an appealing compromise programming-based method can compete with leading methods in the field. It does not require preference information from the decision-maker, is easy-to-implement, can generate solutions to satisfy decision-makers with different sensitivity to bias and variance based on performance metric values, and evenly distributed solutions along the Pareto frontier. The validity of these results is supported on three examples. Keywords: multiple response problems; optimisation criteria; bias; compromise programming; preferences; multicriteria; non-convex surfaces; non-dominated solutions; optimal; Pareto; robustness; response surface methodology; RSM; variance. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:20:y:2015:i:4:p:437-456 Access Statistics for this article More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.