Failure Mode and Effects Analysis Method on the Air System of an Aircraft Turbofan Engine in Multi-Criteria Open Group Decision-Making Environment

Cybernetics & Systems, Год журнала: 2025, Номер unknown, С. 1 - 32

Опубликована: Фев. 25, 2025

Язык: Английский

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Analyzing the barriers to resilience supply chain adoption in the food industry using hybrid interval-valued fermatean fuzzy PROMETHEE-II model

Journal of Industrial Information Integration, Год журнала: 2024, Номер 40, С. 100614 - 100614

Опубликована: Апрель 19, 2024

The resilient food supply chain (RFSC) has been identified as an effective model for mitigating (FSC) risks. However, there exist many barriers impacting the implementation of RFSC. Further, previous studies seldom utilize integrated decision models identifying and ranking to implementing RFSC within uncertain environments. Thus, study establishes interval-valued Fermatean fuzzy (IVFF) framework identify rank these barriers. is classified into four stages. First, interaction between preference information, we introduce IVFF-prioritized weighted average (PWA) operator collect this information. Then, IVFF-CRITIC method proposed calculate barrier weights considering their inter-correlation relationships. Next, IVFF-PWA are incorporated PROMETHEE-II levels alternative participation in FSC. a case about analyzing employed test effectiveness practicality presented framework. result shows that processing company (priority: 0.161) highest level. findings article may offer support stakeholders industry.

Язык: Английский

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Evaluation of sustainable cold chain suppliers using a combined multi-criteria group decision-making framework under fuzzy ZE-numbers

Expert Systems with Applications, Год журнала: 2023, Номер 245, С. 123063 - 123063

Опубликована: Дек. 29, 2023

Язык: Английский

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Analyzing the risk of the ammonia storage facility using extended FMEA model based on probabilistic linguistic GLDS method with consensus reaching

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 62, С. 1231 - 1244

Опубликована: Март 19, 2024

Due to the energy crisis, ammonia stands out as an efficient hydrogen carrier. However, liquid ammonia's nature of toxicity, corrosiveness, volatility, flammability, etc., make its storage highly risky. It is essential analyze risk facility for safety improvement. Failure mode and effect analysis (FMEA) has been a popular method due ease implementation. traditional FMEA insufficient model uncertainty assessment information, enhance consensus among experts, aggregate experts' evaluation derive reliable results. To address these limitations, we introduce hybrid probabilistic linguistic framework failure in facility. First, terms (PLTs) are introduced express uncertain information modes. Second, acceptability-based consensus-reaching process measure on each mode's improve their consensus. Then, degree-based ordered weighted averaging operator fuse where weight determined by degree. Furthermore, gained lost dominance score improved basis expected value PLTs prioritize modes' risk. Finally, case study performed show efficiency extended FMEA. The indicated that condenser cooling water pump level transfer top two modes have scores 0.126 0.091, respectively.

Язык: Английский

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Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sector

International Journal of Quality & Reliability Management, Год журнала: 2023, Номер 41(4), С. 1063 - 1088

Опубликована: Окт. 24, 2023

Purpose This study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing traditional approach with fuzzy variations, supported by case in aeronautical sector. Design/methodology/approach Based on experts' opinions risk analysis within sector, rules governing relationship between severity, occurrence, detection factor were defined. served as input developing fuzzyfied tool using Matlab Logic Toolbox. The was applied sealing process company triangular trapezoidal membership functions, results compared approach. Findings comparative functions have yielded valuable insights into analysis. findings indicated that maintained coherence identifying higher-risk effects, aligning prioritization critical failure modes. Additionally, allowed more refined accounting variations each variable through rules, thereby improving accuracy providing realistic representation potential hazards. developed showed promise enhancing assessment sector considering uncertainties offering detailed context-specific conventional FMEA. Practical implications emphasizes accurately modes reveals proposed can be integrated expert knowledge improve decision-making processes mitigation strategies industry. Due its straightforward approach, this could also prove beneficial other industrial sectors. Originality/value paper presents development implementing FMEA, it incorporating functions. uses Toolbox create tool, enabling nuanced uncertainties.

Язык: Английский

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An improved normal wiggly hesitant fuzzy FMEA model and its application to risk assessment of electric bus systems

Applied Intelligence, Год журнала: 2024, Номер 54(8), С. 6213 - 6237

Опубликована: Апрель 1, 2024

Язык: Английский

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A novel hybrid risk assessment approach under fuzzy environment in steel industry

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108655 - 108655

Опубликована: Май 28, 2024

Язык: Английский

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A survey on machine learning methods for food safety risk assessment: Approaches, challenges, and future outlook

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 154, С. 110960 - 110960

Опубликована: Май 1, 2025

Язык: Английский

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A hybrid approach for outlier detection in pharmaceutical cold chain logistics: A case study

Computers & Industrial Engineering, Год журнала: 2025, Номер unknown, С. 111250 - 111250

Опубликована: Май 1, 2025

Язык: Английский

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Risk assessment for complex product delivery: Group decision-making incorporating personalized cognition and dual belief superposition

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108372 - 108372

Опубликована: Апрель 16, 2024

Язык: Английский

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