Data Analytics and Quality 4.0: Innovations and Applications

Dear Colleagues,

Integrating data analytics and Quality 4.0 are today vital as businesses leverage data-driven insights for operational optimization to contend with market demands. Quality 4.0, which is essential to enhancing product quality and reducing waste in manufacturing, implements real-time monitoring and proactive quality control. Moreover, amidst the automation inherent to Industry 4.0, combining data analytics and Quality 4.0 allows organizations to maximize emerging technologies, driving continuous improvement. Ultimately, this integration empowers businesses to thrive, optimizing processes, enhancing product quality, and fostering innovation in the digital age. This Special Issue on data analytics and Quality 4.0 underscores the critical importance of exploring the intersection of data analytics and quality management within the context of Industry 4.0. This issue addresses the transformative potential of advanced analytics techniques in reshaping quality management practices across diverse sectors, including machine learning, artificial intelligence, and big data analytics. This Special Issue aims to combine scholarly research and practical applications regarding the evolving landscape of data analytics and Quality 4.0 through a curated collection of methodologies, case studies, and best practices. Ultimately, the goal is to propel academic inquiry and industrial innovation forward, facilitating the adoption of data-driven strategies for quality enhancement in the era of Industry 4.0.

Prof. Dr. Elizabeth Cudney
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. Analytics is an international peer-reviewed open access quarterly 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 1000 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.

• data analytics
• Quality 4.0
• Industry 4.0
• machine learning
• artificial intelligence
• big data
• quality management
• continuous improvement
• Lean Six Sigma