Optimization of multiple responses considering both location and dispersion effects |
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| Affiliation: | 1. ESTG - Instituto Politécnico de Viana do Castelo, Portugal;2. Faculdade de Economia, Universidade do Porto, Portugal;3. LIAAD-INESC TEC, Universidade do Porto, Portugal;1. Universidade Federal da Paraíba, Departamento de Estatística, Cidade Universitária, 58051-900 João Pessoa, PB, Brazil;2. Centro de Informatica, Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes s/n – Cidade Universitaria, CEP 50740-560 Recife, PE, Brazil;1. School of Civil and Mechanical Engineering, Curtin University, GPO Box 1987, Perth, Western Australia 6845, Australia;2. School of Sustainable Development, Bond University, Robina, QLD, Australia;3. The Business School, Curtin University, GPO Box 1987, Perth, Western Australia 6845, Australia;4. Faculty of Business and Law, Bradford University, Emm Lane, Bradford BD9 4JL, West Yorkshire, UK |
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| Abstract: | An integrated modeling approach to simultaneously optimizing both the location and dispersion effects of multiple responses is proposed. The proposed approach aims to identify the setting of input variables to maximize the overall minimal satisfaction level with respect to both location and dispersion of all the responses. The proposed approach overcomes the common limitation of the existing multiresponse approaches, which typically ignore the dispersion effect of the responses. Several possible variations of the proposed model are also discussed. Properties of the proposed approach are revealed via examples. |
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