Mathematical Modelling and Statistical Methods of Quality Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 2975
Special Issue Editor
Interests: design of experiments; statistical quality control; genetic statistics; deep learning; Bayesian methods; machine learning
Special Issue Information
Dear Colleagues,
The aim of this Special Issue on "Mathematical Modelling and Statistical Methods of Quality Engineering" is to provide a platform for researchers, practitioners, and experts from various disciplines to explore the latest advancements, methodologies, and applications in quality engineering. The scope of this issue encompasses a wide range of topics related to mathematical modelling and statistical methods that contribute to the improvement, analysis, and optimization of quality in diverse industries.
Quality engineering is crucial in ensuring the delivery of products, services, and processes that meet or exceed customer expectations. This Special Issue aims to showcase innovative research that integrates mathematical modelling and statistical methods to address challenges and enhance the understanding of quality-related phenomena. Contributions are sought in areas such as statistical process control, design of experiments, reliability analysis, quality optimization, Six Sigma, lean manufacturing, quality management systems, and more.
The scope of this issue also includes the application of mathematical models, statistical techniques, data analysis, simulation, or optimization methods in quality engineering. We encourage submissions of original research articles, reviews, and case studies that present novel concepts, methodologies, and practical applications. By sharing diverse perspectives and experiences, this Special Issue aims to facilitate interdisciplinary collaboration and foster the exchange of knowledge and best practices in quality engineering.
Prof. Dr. Changyun Lin
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- statistical process control
- design of experiments
- reliability analysis
- data analysis
- computer science
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