The Integration of Reliability, Availability, and Maintainability into Model-Based Systems Engineering

Diatte, Kyle; O’Halloran, Bryan M.; Bossuyt, Douglas L. Van

doi:10.3390/systems10040101

Cited by 15 publications

(7 citation statements)

References 59 publications

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“…Operational availability, also known as the goodness of service, is a function of reliability and maintainability. It defines a system’s probability of performing under stipulated conditions of uptime and downtime 19 . In this study, 20 physiological monitor units are measured based on the degree the system is in an operational and committable state at the point in time when needed.…”

Section: Methods and Interventionmentioning

confidence: 99%

“…In this study, 20 physiological monitor units are measured based on the degree the system is in an operational and committable state at the point in time when needed. Therefore, its active time ratio is proportional to the system lifecycle, which is the total amount of a system in a collection of its operational lifecycles and services 19 . The availability ratio of the system is equivalent to the total number of respective days the equipment was used, as described in the overall equipment usability.…”

Section: Methods and Interventionmentioning

confidence: 99%

See 1 more Smart Citation

An operational maintenance approach for improving physiological monitor by HFMEA process: an empirical case study

Chia

Chang

Yang

et al. 2023

Annals of Medicine &Amp; Surgery

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Background: This study explored the application of healthcare failure mode and effect analysis (HFMEA) to identify and evaluate risk-associated factors in the intensive care unit (ICU) through a clinical-based expert knowledge (decision) for the physiological monitor operational maintenance process. Methods and intervention: A mixed qualitative and quantitative proactive approach to explore the HFMEA process by analyzing 20 units of physiological monitors in the ICU. An HFMEA expert team of six people was formed to perform a risk-based analysis and evaluate the potential hazard index, mitigating the hazard scores and risks. Results: From the main processes and possible failure reasons, one high-risk hazard index greater than or equal to 8 of the standard score was found. This standard score indicates the signed manufacturer’s contract for maintenance was the hazard index failure mode on the parts not regularly replaced according to the contract. This systematic hazard index failure mode shows the highest hazard scores in the possible failure reason category, established as a standard maintenance procedure. In addition, the HFMEA expert analysis of the 20 units of physiological monitors within 6 months of the original and remanufactured part maintenance results in operational availability from 90.9% for self-repair to 99.2% for contract manufacturer repair. Conclusions: This study concludes a systematic reference in malpractices caused by maintenance negligence. The HFMEA expert team agrees that hazard failure scores greater than or equal to 8 are vital assessments and evaluations for decision-making, especially in maintaining healthcare intensive unit care physiological monitors.

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Section: Methods and Interventionmentioning

confidence: 99%

Section: Methods and Interventionmentioning

confidence: 99%

An operational maintenance approach for improving physiological monitor by HFMEA process: an empirical case study

Chia

Chang

Yang

et al. 2023

Annals of Medicine &Amp; Surgery

View full text Add to dashboard Cite

show abstract

“…However, designing a system that meets reliability requirements is an iterative optimization process that requires the cooperation of the system design specialist and reliability specialist [31,32], see Figure 1. Specifically, after the system design specialist completes the functional design, the reliability specialist needs to build a system reliability model based on the system function architecture and perform a reliability evaluation.…”

Section: System Reliability Optimization Processmentioning

confidence: 99%

A Three-State Space Modeling Method for Aircraft System Reliability Design

Wang,

Feng

et al. 2023

Machines

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Reliability is an inherent attribute of a system through optimal system design. However, during the aircraft system development process, the reliability evaluation and system function design efforts are often disconnected, leading to a divide between reliability experts and system designers in their work schedule. This disconnect results in an inefficient aircraft system reliability optimization process, known as the “two-skin” phenomenon. To address this issue, a three-state space model is proposed. Firstly, an analysis was conducted on the relationship between the system function architecture developed by the system designers and the reliability evaluation performed by the reliability experts. Secondly, based on the principle of function flow, the state of failure was categorized into “physical failure” and “non-physical failure”. Additionally, a new state of “function loss” was introduced as the third state for the system, in addition to the traditional states of “normal” and “faulty”. Thirdly, through the state of “Function loss”, an effective integration of system fault modes and function modes was achieved, leading to an optimized system reliability model. A three-state space modeling method was then developed by transforming the system function architecture into a system reliability model. Finally, this new model was applied to an aircraft’s rudder and fly-by-wire control system. The results demonstrate that the function architecture at the design stage of the system can be accurately transformed into the new three-state space model. The structure aligns closely with the function architecture and can be effectively utilized in quantitative system reliability calculations. In this way, the process of ensuring system reliability can be seamlessly integrated into the system optimization design process. This integration alleviates the issue of disjointed work between reliability experts and system designers, leading to a more streamlined and efficient aircraft system optimization process.

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“…One of the challenging approaches to MBSE is the proper handling of nonfunctional requirements. In [51], the authors elaborate on integrating the system's reliability, availability, and maintainability features in the early engineering phases of the Model-Based System Engineering paradigm.…”

Section: Other Abilitiesmentioning

confidence: 99%

Simulation-Based Engineering of Heterogeneous Collaborative Systems—A Novel Conceptual Framework

Perišić,

Perišić

2023

Sustainability

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We discuss the collaboration support of loosely coupled Smart Systems through configurable hyper-frameworks. Based on the system-of-systems (SoS) paradigm, in this article, we propose the model of a novel extendible conceptual framework with domain-specific moderation support for model-based simulations and the engineering of complex heterogeneous systems. The domain knowledge meta-model and corresponding management enterprise architecture enable the creation of template-based specializations. The proposed SoS conceptual framework meta-model represents an initial framework prototype that supports modeling, simulation, analysis, and utilization of dynamic architecting of heterogeneous SoS configurations. A Smart-Habitat concept encapsulating Smart-Area, Smart-City, Smart-Lot, Smart-Building, and Smart-Unit abstractions illustrate the frameworks’ applicability. The proposed SoS conceptual framework represents the initial conceptual support for modeling, simulation, analysis, and dynamic architecting of heterogeneous SoS configurations. We plan to refine the component architecture meta-model, specify a language workbench with Domain-Specific Orchestration Language support, and verify the configuration-based simulation manifest creation. These actions lead to the framework’s next stage, an operational framework (OF) instance, as a transitional artifact to the aimed software framework (SwF) counterpart.

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The Integration of Reliability, Availability, and Maintainability into Model-Based Systems Engineering

Cited by 15 publications

References 59 publications

An operational maintenance approach for improving physiological monitor by HFMEA process: an empirical case study

An operational maintenance approach for improving physiological monitor by HFMEA process: an empirical case study

A Three-State Space Modeling Method for Aircraft System Reliability Design

Simulation-Based Engineering of Heterogeneous Collaborative Systems—A Novel Conceptual Framework

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