Multistage MR-CART: Multiresponse optimization in a multistage process using a classification and regression tree method
A multistage process consists of sequential consecutive stages. In this process, each stage
has multiple responses and is affected by its preceding stage, while at the same time …
has multiple responses and is affected by its preceding stage, while at the same time …
EWMA-PRIM: Process optimization based on time-series process operational data using the exponentially weighted moving average and patient rule induction …
Currently, many manufacturing companies are obtaining a large amount of operational data
from manufacturing lines due to advances in information technology. Thus, various data …
from manufacturing lines due to advances in information technology. Thus, various data …
A scenario-based desirability function for correlated multi-response optimization problems considering modeling and implementation errors
TH Hejazi - Journal of Computational Science, 2022 - Elsevier
Simultaneous improvement of multiple quality characteristics is one of the main concerns in
today's complex industrial systems. Multiresponse optimization enables us to address this …
today's complex industrial systems. Multiresponse optimization enables us to address this …
Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review
F Darbanian, P Brandtner… - … and Supply Chain …, 2024 - journal.oscm-forum.org
In recent years, there has been a growing surge of interest in the application of data
analytics (DA) within the realm of supply chain management (SCM), attracting attention from …
analytics (DA) within the realm of supply chain management (SCM), attracting attention from …
A novel machine learning-based multiobjective robust optimisation strategy for quality improvement of multivariate manufacturing processes
The primary objective of this study was to develop a novel data-driven machine learning-
based multiobjective robust optimisation strategy to improve the overall quality of …
based multiobjective robust optimisation strategy to improve the overall quality of …
[HTML][HTML] Robust optimization of multistage process: response surface and multi-response optimization approaches
A Moslemi, M Seyyed-Esfahani - International Journal of Nonlinear …, 2022 - degruyter.com
A multistage system refers to a system contains multiple components or stages which are
necessary to finish the final product or service. To analyze these problems, the first step is …
necessary to finish the final product or service. To analyze these problems, the first step is …
[HTML][HTML] Process Quality Control Method for Three-Cylinder Engine Balance Shaft System Oriented to Manufacturing Supply Chain
P Wang, G Li, X Li - Applied Sciences, 2023 - mdpi.com
Automobile manufacturers often outsource key components and parts to suppliers, hence
ensuring that process quality has been a hot topic in current research. The quality control …
ensuring that process quality has been a hot topic in current research. The quality control …
A modified lasso model for yield analysis considering the interaction effect in a multistage manufacturing line
Yield analysis aims to rapidly determine the yield loss factor and maximize yield. In a
multistage line involving sequential process steps with various tools in each step, such as …
multistage line involving sequential process steps with various tools in each step, such as …
Enhancing Cascade Quality Prediction Method in Handling Imbalanced Dataset Using Synthetic Minority Over-Sampling Technique
Assessing the production process primarily revolves around quality. When dealing with a
basic manufacturing process, quality can be easily anticipated. However, as manufacturing …
basic manufacturing process, quality can be easily anticipated. However, as manufacturing …
Robust Parameters Design of Categorical Responses under Modeling and Implementation Errors
Nowadays, improving quality is advocated as a strategy to increase market share, and
failing to address this crucial issue results in exclusion from the competitive landscape. Most …
failing to address this crucial issue results in exclusion from the competitive landscape. Most …