Mathematical Modelling and Statistical Methods of Quality Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 192
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- machine learning
- statistical process control
- design of experiments
- reliability analysis
- data analysis
- computer science
