Modeling and Analyzing Supporting Systems for Smart Manufacturing Systems with Stochastic, Technical and Economic Dependences

Farsi, Mohammad Ali; Zio, Enrico

doi:10.5829/ije.2020.33.11b.21

Cited by 2 publications

(2 citation statements)

References 15 publications

(15 reference statements)

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“…With respect to the characteristics of the considered systems (taxonomy iv), the methods can be distinguished between those addressing single-unit (Cha, Finkelstein and Levitin, 2017) and multi-unit systems (Vu et al, 2014). Also systems characterized by different types of dependence among components have been considered: independent units (Bajestani and Banjevic, 2016), economic dependence, stochastic dependence, structural dependence and logistical dependence (Vu, Do and Barros, 2016;Farsi and Zio, 2020).…”

Section: Maintenance In Industrial Systemsmentioning

confidence: 99%

Optimization of the Operation and Maintenance of Renewable Energy Systems by Deep Reinforcement Learning

Pinciroli

Baraldi

Ballabio³

et al. 2021

SSRN Journal

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Section: Maintenance In Industrial Systemsmentioning

confidence: 99%

Optimization of the Operation and Maintenance of Renewable Energy Systems by Deep Reinforcement Learning

Pinciroli

Baraldi

Ballabio³

et al. 2021

SSRN Journal

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“…The maintenance policy has been deeply investigated and different approaches (e.g. Preventive maintenance, condition-based maintenance, predictive maintenance) have been recommended for industrial systems (Farsi and Zio, 2020). Although several studies have been carried out to determine the maintenance strategy for manned aircraft systems, unmanned aircraft systems attracted little attention in the past.…”

mentioning

confidence: 99%

RBM-MCDM framework for optimization of maintenance and inspection intervals of small unmanned aircrafts

Farsi

2022

JQME

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PurposeUnmanned aircraft applications are quickly expanded in different fields. These systems are complex that include several subsystems with different types of technologies. Maintenance and inspection planning is necessary to obtain optimal performance and effectiveness. The failure rate in these systems is more than commercial and manned aircraft since they are usually cheaper. But maintenance and operation planning are difficult because we deal with a system that has multi-components, multi-failure models, and different dependencies between subsystems without any advanced health monitoring system. In this paper, this matter is considered and a framework to determine optimal maintenance and inspection plan for this type of system is proposed to improve system reliability and availability. The new criteria according to this field are proposed.Design/methodology/approachMaintenance of unmanned systems influences their readiness; also, according to the complexity of the system and different types of components, maintenance programming is a vital requirement. The plan should consider several criteria and disciplines; thus, multicriteria decision approaches may be useful. On another side, the reliability and safety of unmanned aircraft are the most important requirements in the design and operation phases. The authors consider these parameters and develop a framework based on risk-based maintenance to overcome the problems for unmanned systems. This framework consists of two stages: at the first stage, the critical components and failure modes are determined by FMEA, and in the second stage, the priority of maintenance tasks is determined by a fuzzy multicriteria weighted decision system. In this study, fourteen criteria with different levels of importance are developed and proposed to find the best plan for maintenance and inspection intervals. These criteria have been extracted from the literature review, the author's experience, and expert opinions.FindingsA novel framework for risk-based maintenance has been proposed. Risk determination and risk criteria are the most important factors in this framework. Risks are determined by FMEA, and new criteria are proposed that are used for decision-making. These criteria are proposed based on practical experience and experts' opinions for the maintenance process in the aeronautic industry. These are evaluated by industrial cases, and this framework capability has been demonstrated.Research limitations/implicationsThe proposed framework and criteria for small unmanned aircraft have been developed based on a practical point of view and expert opinion. Thus for implementation in other aeronautic industries, the framework may need a minor modification.Practical implicationsTwo important subsystems of an unmanned aircraft have been studied, and the capabilities of this method have been presented.Originality/valueThis research is original work to determine a maintenance program for unmanned aircraft that their application has rapidly grown up. Practical and design parameters have been considered in this work.

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Modeling and Analyzing Supporting Systems for Smart Manufacturing Systems with Stochastic, Technical and Economic Dependences

Cited by 2 publications

References 15 publications

Optimization of the Operation and Maintenance of Renewable Energy Systems by Deep Reinforcement Learning

Optimization of the Operation and Maintenance of Renewable Energy Systems by Deep Reinforcement Learning

RBM-MCDM framework for optimization of maintenance and inspection intervals of small unmanned aircrafts

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