Modified quadratic loss function for a trivariate response with the exact feasible region for parameters
Само за регистроване кориснике
2012
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
This paper deals with modification of Taguchi's quadratic quality loss function (QQLF) for a trivariate responses, each having a NtB (nominal-the-best) type quality characteristic and correlated in pairs. It tends to improve and extend results obtained in [4,6]. Impossibility to solve nonlinear constraint in [6] resulted in an approximate algorithm to determine unknown parameters of QQLF. Here the nonlinear constraint is solved analytically and consequently the exact feasible region is obtained. The QQLF is formed by means of the parameters from the restrictive feasible region and proved suitable for all the types of correlation among quality characteristics.
Кључне речи:
Trivariate response / Quadratic quality loss function / Feasible regionИзвор:
Journal of Manufacturing Systems, 2012, 31, 2, 177-183Издавач:
- Elsevier Sci Ltd, Oxford
DOI: 10.1016/j.jmsy.2012.01.001
ISSN: 0278-6125
WoS: 000302975400010
Scopus: 2-s2.0-84858334692
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Lazović, Rade AU - Mijatović, Ivana PY - 2012 UR - https://rfos.fon.bg.ac.rs/handle/123456789/833 AB - This paper deals with modification of Taguchi's quadratic quality loss function (QQLF) for a trivariate responses, each having a NtB (nominal-the-best) type quality characteristic and correlated in pairs. It tends to improve and extend results obtained in [4,6]. Impossibility to solve nonlinear constraint in [6] resulted in an approximate algorithm to determine unknown parameters of QQLF. Here the nonlinear constraint is solved analytically and consequently the exact feasible region is obtained. The QQLF is formed by means of the parameters from the restrictive feasible region and proved suitable for all the types of correlation among quality characteristics. PB - Elsevier Sci Ltd, Oxford T2 - Journal of Manufacturing Systems T1 - Modified quadratic loss function for a trivariate response with the exact feasible region for parameters EP - 183 IS - 2 SP - 177 VL - 31 DO - 10.1016/j.jmsy.2012.01.001 UR - conv_1398 ER -
@article{ author = "Lazović, Rade and Mijatović, Ivana", year = "2012", abstract = "This paper deals with modification of Taguchi's quadratic quality loss function (QQLF) for a trivariate responses, each having a NtB (nominal-the-best) type quality characteristic and correlated in pairs. It tends to improve and extend results obtained in [4,6]. Impossibility to solve nonlinear constraint in [6] resulted in an approximate algorithm to determine unknown parameters of QQLF. Here the nonlinear constraint is solved analytically and consequently the exact feasible region is obtained. The QQLF is formed by means of the parameters from the restrictive feasible region and proved suitable for all the types of correlation among quality characteristics.", publisher = "Elsevier Sci Ltd, Oxford", journal = "Journal of Manufacturing Systems", title = "Modified quadratic loss function for a trivariate response with the exact feasible region for parameters", pages = "183-177", number = "2", volume = "31", doi = "10.1016/j.jmsy.2012.01.001", url = "conv_1398" }
Lazović, R.,& Mijatović, I.. (2012). Modified quadratic loss function for a trivariate response with the exact feasible region for parameters. in Journal of Manufacturing Systems Elsevier Sci Ltd, Oxford., 31(2), 177-183. https://doi.org/10.1016/j.jmsy.2012.01.001 conv_1398
Lazović R, Mijatović I. Modified quadratic loss function for a trivariate response with the exact feasible region for parameters. in Journal of Manufacturing Systems. 2012;31(2):177-183. doi:10.1016/j.jmsy.2012.01.001 conv_1398 .
Lazović, Rade, Mijatović, Ivana, "Modified quadratic loss function for a trivariate response with the exact feasible region for parameters" in Journal of Manufacturing Systems, 31, no. 2 (2012):177-183, https://doi.org/10.1016/j.jmsy.2012.01.001 ., conv_1398 .