Mathematics in Advanced Reliability and Maintenance Modeling

Dear Colleagues,

As technological advancements like cloud computing and AI evolve, they bring new challenges to maintaining and ensuring the reliability, security, and availability of these systems. Especially mathematical aspects play a central role in the development of reliability and maintenance modelling and spread to several areas such as optimization algorithms, stochastic processes, statistical inference, and machine learning, among others. This Special Issue, “Mathematics in Advanced Reliability and Maintenance Modeling”, aims to highlight innovative research, practical challenges, and advanced methodologies in terms of applied mathematics. Our purpose is to share advanced knowledge and information related to reliability and maintenance. In fact, reliability and maintenance are the fundamental technologies required in various fields, such as power systems, communication networks, transportation, cloud computing, electronic systems, buildings and infrastructure, medical and healthcare, and aviation and railway systems. We hope that this Special Issue will provide and explore solutions to the various reliability challenges facing society.

Topics of interest include (but are not limited to) the following: manufacturing system reliability; software reliability and testing communication systems; reliability modeling human reliability; Bayesian reliability; fuzzy reliability network reliability and optimization; safety and risk assessment; cyber security; security issues; internet reliability engineering; service and reliability; estimation and statistical testing; survival analysis; warranty analysis; resilience; computer system dependability; design for six sigma; fault-tolerant computing; maintenance optimization; maintainability and availability; reliability physics; accelerated degradation testing; accelerated life testing; big data; data mining and analytics; diagnostics; condition monitoring; engineering asset management; machine health assessment; and dynamic reliability analysis.

We expect the high-quality submissions that were presented at the 11th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM2024) held in Nagoya, Japan, on August 26–30, 2024, but the presentation at the symposium is not mandatory for the submission to this Special Issue. If the paper is accepted, then the authors are requested to cover the APC in MDPI. For the best-quality papers evaluated by the Guest Editors, MDPI will give a token of a 100% discount for the top 10 high-quality papers. The submission deadline is November 30, 2024.

Prof. Dr. Tadashi Dohi
Dr. Junjun Zheng
Prof. Dr. Xufeng Zhao
Guest Editors

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-anonymized 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.