Special Issue "Reliability and Maintenance Scheduling: Methods, Theory and applications"

A special issue of Systems (ISSN 2079-8954).

Deadline for manuscript submissions: closed (31 March 2019)

Special Issue Editor

Guest Editor
Dr. Harish Garg

School of Mathematics, Thapar Institute of Engineering & Technology (Deemed University), Patiala 147004 Punjab, India
Website | E-Mail
Interests: expert systems; aggregation operators; reliability and maintenance analysis; computational intelligence; multi-criteria decision making problems; optimization techniques; nature inspired algorithms; intuitionistic fuzzy set theory

Special Issue Information

Dear Colleagues,

In the present era of industrial growth, optimal efficiency and minimum hazards are more challenging to maintain. To overcome these issues, reliability technology can play an important role. Reliability is measured as the ability of a system to perform its intended function, successfully, for a specified period, under predetermined conditions. This attribute has far-reaching consequences on the durability, availability, and life cycle cost of a product or system and is of great importance to the end user/engineer. However, failure is an inevitable fact related to products and systems. These failures may be the results of human error, poor maintenance, or inadequate testing and inspection. To improve system reliability and availability, implementation of appropriate maintenance strategies plays an important role. High performance of these units can be achieved with highly reliable subunits and perfect maintenance. To this effect, knowledge of the behavior of systems and their component(s) is customary in order to plan and adapt suitable maintenance strategies. Therefore, in recent years, the importance of reliability and maintenance theory has been increasing rapidly with the innovation of recent technology for the purpose of making good products of a high quality and designing highly reliable systems.

This Special Issue on “Reliability and Maintenance Scheduling: Methods, Theory and Applications” presents a platform where researchers from academy and industry can present methodologies of coping with uncertainty in reliability optimization through the use of concepts and various techniques, such as soft computing, fuzzy optimization, uncertainty, maintenance scheduling, Markov chain, Stochastic process, etc.

Dr. Harish Garg
Guest Editor

Manuscript Submission Information

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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. Systems 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 350 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

  • Reliability optimization.
  • Risk assessment
  • Reliability redundancy allocation problems
  • Maintenance scheduling
  • Reliability-based Design Optimization
  • Hazard rate, fault tree analysis
  • Maintenance Models and Methodologies
  • Big Data and IoT Applications for Reliability Improvement
  • Reliability Growth Analysis
  • Markov systems
  • Stochastic process
  • Evolutionary algorithms
  • Fuzzy reliability analysis

Published Papers (1 paper)

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Research

Open AccessArticle Categorification of the Müller-Wichards System Performance Estimation Model: Model Symmetries, Invariants, and Closed Forms
Received: 25 October 2018 / Revised: 11 December 2018 / Accepted: 11 December 2018 / Published: 24 January 2019
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Abstract
The Müller-Wichards model (MW) is an algebraic method that quantitatively estimates the performance of sequential and/or parallel computer applications. Because of category theory’s expressive power and mathematical precision, a category theoretic reformulation of MW, i.e., CMW, is presented in this paper. The CMW [...] Read more.
The Müller-Wichards model (MW) is an algebraic method that quantitatively estimates the performance of sequential and/or parallel computer applications. Because of category theory’s expressive power and mathematical precision, a category theoretic reformulation of MW, i.e., CMW, is presented in this paper. The CMW is effectively numerically equivalent to MW and can be used to estimate the performance of any system that can be represented as numerical sequences of arithmetic, data movement, and delay processes. The CMW fundamental symmetry group is introduced and CMW’s category theoretic formalism is used to facilitate the identification of associated model invariants. The formalism also yields a natural approach to dividing systems into subsystems in a manner that preserves performance. Closed form models are developed and studied statistically, and special case closed form models are used to abstractly quantify the effect of parallelization upon processing time vs. loading, as well as to establish a system performance stationary action principle. Full article
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