A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability

J Wang, Y Ma, L Ouyang, Y Tu - European Journal of Operational Research, 2016 - Elsevier
Multi-response surface (MRS) optimization in quality design often involves some problems
such as correlation among multiple responses, robustness measurement of multivariate …

Economic parameter design for ultra-fast laser micro-drilling process

J Wang, Y Ma, F Tsung, G Chang… - International Journal of …, 2019 - Taylor & Francis
The basic requirement in this type of micro-drilling process is to achieve high product quality
with the minimum machining cost, which can be realised through parameter design. In this …

Bayesian modeling and optimization for multi-response surfaces

J Wang, Y Ma, L Ouyang, Y Tu - Computers & Industrial Engineering, 2020 - Elsevier
This paper proposes a new Bayesian modeling and optimization method for multi-response
surfaces (MRS). The proposed approach not only measures the conformance probability (ie …

Bayesian modeling and optimization for split-plot experiments with multiple responses

X Chen, J Wang, X Ren, C Ding - Computers & Industrial Engineering, 2024 - Elsevier
In many industrial processes, cost or time constraints make some input variables harder to
change or control than others. An appropriate experimental design method is restricted …

Optimization of perovskite gas sensor performance: Characterization, measurement and experimental design

F Bertocci, A Fort, V Vignoli, M Mugnaini, R Berni - Sensors, 2017 - mdpi.com
Eight different types of nanostructured perovskites based on YCoO 3 with different chemical
compositions are prepared as gas sensor materials, and they are studied with two target …

Response surfaces, blocking, and split plots: A predictive distribution case study

JJ Peterson - Quality Engineering, 2023 - Taylor & Francis
This article presents a case study re-analysis of a complex response-factor data set
involving a split-plot design with blocking for two quality responses. The analysis presented …

A guideline for implementing a robust optimization of a complex multi-stage manufacturing process

F Bertocci, A Grandoni, M Fidanza, R Berni - Applied Sciences, 2021 - mdpi.com
Featured Application This research represents a key-study devoted to the continuous
improvement of manufacturing processes leading to a concrete advantage for companies …

Stochastic search variable selection for split-plot and blocked screening designs

CY Lin - Journal of Quality Technology, 2021 - Taylor & Francis
Split-plot definitive screening and blocked definitive screening designs have been
developed for detecting active main effects and second-order effects in screening …

Bayesian analysis and follow-up experiments for supersaturated multistratum designs

CY Lin, P Yang - Journal of Quality Technology, 2022 - Taylor & Francis
Supersaturated multistratum designs are applied for identifying important factors in
experiments in which the run order cannot be completely randomized. Since supersaturated …

[PDF][PDF] Taguchi method for off-line quality control

I Ben-Gal, S Dror - Wiley StatsRef: Statistics Reference Online, 2016 - researchgate.net
Off-line quality control methods are often referred to the measures taken at the product and
process design stages to improve product quality. G. Taguchi has developed a systematic …