Statistics, Data Analytics, and Machine Learning in Manufacturing

Dear Colleagues,

Statistics, data analytics, and machine learning play a pivotal role in driving innovation and enhancing performance in advanced manufacturing systems. This Special Issue encourages the submission of high-quality research papers that explore the integration of data-driven approaches in manufacturing processes. Topics of interest include, but are not limited to, the following:

• Process monitoring;
• Anomaly and defect detection;
• Variation quantification;
• System and process optimization;
• Uncertainty quantification and propagation;
• Digital twin technologies;
• Reliability analysis.

We particularly seek contributions that present novel methodologies or discuss innovative and impactful applications within these domains. Review articles are also welcome, especially those that provide critical insights and elucidate emerging directions for future research in data analytics for manufacturing.

All submissions should be rigorously researched, clearly structured, and written in professional English, with the goal of being accessible and engaging to a broad interdisciplinary audience. There are no restrictions on paper length or the use of color figures and diagrams.

Authors are encouraged to include supplementary materials such as software code, detailed derivations, extensive datasets, or comprehensive descriptions of experimental procedures and computations. If these materials are too lengthy for inclusion in the main text, they may be submitted as appendices or supplementary files.

Dr. Qing Li
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 250 words) can be sent to the Editorial Office for assessment.

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.