Optimizing maintenance policies for a yaw system using reliability-centered maintenance and data-driven condition monitoring
M Catelani, L Ciani, D Galar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
System downtime and unplanned outages massively affect plant productivity; therefore, the
reliability, availability, maintainability, and safety (RAMS) disciplines, together with fault …
reliability, availability, maintainability, and safety (RAMS) disciplines, together with fault …
Evaluation of a production system's technical availability and maintenance cost–development of requirements and literature review
L Sielaff, D Lucke, A Sauer - International Journal of Computer …, 2023 - Taylor & Francis
In increasingly complex production environments, tremendous efforts are being made to
optimize the efficiency of a production system. An important efficiency factor is industrial …
optimize the efficiency of a production system. An important efficiency factor is industrial …
Towards strategic development of maintenance and its effects on production performance by using system dynamics in the automotive industry
Managing maintenance within an economical short-termism framework, without considering
the consequential long-term cost effect, is very common in industry. This research presents a …
the consequential long-term cost effect, is very common in industry. This research presents a …
Sustainable maintenance planning in the petroleum industry: an application of system dynamics approach
M Hosseinzadeh, MS Foroushani… - International Journal of …, 2023 - emerald.com
Purpose While the petroleum industry remains to be the main source of energy in the world,
it is responsible for a large amount of resource consumption, environmental emission and …
it is responsible for a large amount of resource consumption, environmental emission and …
Condition-based maintenance of hvac on a high-speed train for fault detection
Reliability-centered maintenance (RCM) is a well-established method for preventive
maintenance planning. This paper focuses on the optimization of a maintenance plan for an …
maintenance planning. This paper focuses on the optimization of a maintenance plan for an …
Investigating the causal relationships among failure modes, effects and causes: a system dynamics approach
Purpose This paper aims to develop a system dynamics (SD) model to identify causal
relationships among the elements of failure modes and effects analysis (FMEA), ie failure …
relationships among the elements of failure modes and effects analysis (FMEA), ie failure …
[HTML][HTML] Disposición y disponibilidad como indicadores para el transporte
L Penabad-Sanz, AM Iznaga-Benítez… - Revista Ciencias …, 2016 - scielo.sld.cu
Los indicadores son elementos importantes para evaluar el desempeño de la gestión
empresarial en cualquier organización. En Cuba se ha establecido el indicador disposición …
empresarial en cualquier organización. En Cuba se ha establecido el indicador disposición …
Reliability study for communication system: A case study of an underground mine
B Bazargur, O Bataa, U Budjav - Applied Sciences, 2023 - mdpi.com
After summarizing and evaluating works on system reliability, various models and results for
predicting and evaluating system reliability have been introduced. However, we have not …
predicting and evaluating system reliability have been introduced. However, we have not …
[HTML][HTML] A Bayesian network development methodology for fault analysis; case study of the automotive aftertreatment system
This paper proposes a structured methodology for generating a Bayesian network (BN)
structure for an engineered system and investigates the impact of integrating engineering …
structure for an engineered system and investigates the impact of integrating engineering …
Lifetime benefit analysis of intelligent maintenance: Simulation modeling approach and industrial case study
H Nordal, I El-Thalji - Applied Sciences, 2021 - mdpi.com
The introduction of Industry 4.0 is expected to revolutionize current maintenance practices
by reaching new levels of predictive (detection, diagnosis, and prognosis processes) and …
by reaching new levels of predictive (detection, diagnosis, and prognosis processes) and …