Systems Engineering: Availability and Reliability
Antosz, Katarzyna (editor)
Machado, Jose (editor)
Mazurkiewicz, Dariusz (editor)
Antonelli, Dario (editor)
Soares, Filomena (editor)
Current trends in Industry 4.0 are largely related to issues of reliability and availability. As a result of these trends and the complexity of engineering systems, research and development in this area needs to focus on new solutions in the integration of intelligent machines or systems, with an emphasis on changes in production processes aimed at increasing production efficiency or equipment reliability. The emergence of innovative technologies and new business models based on innovation, cooperation networks, and the enhancement of endogenous resources is assumed to be a strong contribution to the development of competitive economies all around the world. Innovation and engineering, focused on sustainability, reliability, and availability of resources, have a key role in this context. The scope of this Special Issue is closely associated to that of the ICIE’2020 conference. This conference and journal’s Special Issue is to present current innovations and engineering achievements of top world scientists and industrial practitioners in the thematic areas related to reliability and risk assessment, innovations in maintenance strategies, production process scheduling, management and maintenance or systems analysis, simulation, design and modelling.
KeywordsQuality check; bike frame; mathematical model; graphical user interface; risk management; safety assurance; medical parallel robot; robotic assisted cancer treatment; risk performance reasoning; hidden Markov model; Handy bauxite carrier; process safety; performance evaluation; safety; coupling correlation; risk assessment; multi-dimensional theory; precision steel tape; tape transportation; roller-tape interactions; roller-tape contact pair; reliability; truck unloading system; petroleum equipment; preventive maintenance; cork–rubber composites; compression; apparent compression modulus; Young’s modulus; bonded condition; importance measure; cost; inventory systems; air compression system; nitrogen generation system; utility module; availability; sensitivity analysis; predictive maintenance; Industry 4.0; Internet of Things; artificial intelligence; machine learning; maintenance; predictive scheduling; flow shop; job shop; ant colony optimisation; on-line monitoring; collaborative robots; human robot collaboration; time between failure (TBF); common beta hypothesis (CBH) test; meta-analysis; level of heterogeneity; mean time between failure (MTBF); text mining; network-based distributed manufacturing systems; moth flame optimization algorithm; support vector machines; Naive Bayes; random forest; decision trees; supplier classification; machining centre; DSM; Copula function; fault propagation intensity; fault propagation behaviour; lubricity; gear oil; wear; operational reliability; n/a
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Publication date and placeBasel, 2022
Technology: general issues
History of engineering & technology