Dual-response optimization for lifetime improvement experimental designs-Reference-Cited by-同舟云学术

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Dual-response optimization for lifetime improvement experimental designs

Published:2021-08 Issue: Volume:158 Page:107437
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Wang Guodong,Shao Mengying,Cui Qingan,Lv Shanshan,He Zhen,Vining Geoff

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference40 articles.

1. A methodology for product reliability enhancement via saturated–unreplicated fractional factorial designs;Besseris;Reliability Engineering & System Safety,2010

2. Profiling effects in industrial data mining by non-parametric doe methods: An application on screening checkweighing systems in packaging operations;Besseris;European Journal of Operational Research,2012

3. Evaluation of robust scale estimators for modified Weibull process capability indices and their bootstrap confidence intervals;Besseris;Computers & Industrial Engineering,2019

4. Improvement of an industrial thermostat using designed experiments;Bullington;Journal of Quality Technology,1993

5. Programming with linear fractional functionals;Charnes;Naval Research Logistics Quarterly,1962

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1. A distribution-free method for reliability improvement based on design of experiments;Reliability Engineering & System Safety;2025-01

2. Enhancing Novel Clean Room Learning Metaheuristic Algorithm on Noisy Response Surfaces: Parameter Design through Dual Response Optimization;2024 9th International Conference on Machine Learning Technologies (ICMLT);2024-05-24

3. Optimal design for reliability improvement experiments with a non-constant scale parameter;Quality Technology & Quantitative Management;2023-09-04

4. Bayesian analysis of designed reliability improvement experiments with application to adaptive termination;Quality and Reliability Engineering International;2022-11-03

5. Framework for robust parameter design and optimization of reliability characteristics;Quality and Reliability Engineering International;2022-08-17

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