An ontology-based multi-hazard coupling accidents simulation and deduction system for underground utility tunnel - A case study of earthquake-induced disaster chain

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 253, P. 110559 - 110559

Published: Oct. 6, 2024

Language: Английский

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A multicriteria decision-making model for risk management in an integrated management system

The TQM Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 26, 2024

Purpose This paper proposes a multicriteria model for risk management to identify and assess risks associated with an integrated system (IMS). The main benefit of the proposed is its systemic logical visualization, which may facilitate understanding this proposal’s practical application. Design/methodology/approach research design consists four stages: (1) conduct literature review establish models in IMS; (2) collect data concerning IMS from large multinational automotive company; (3) propose define as well prioritize mitigation actions (4) apply collected case-based evaluate viability contribute methods traditionally used. Findings results showed that contributes more reliable decision-making IMS. application identified 85 total processes IMS, 31 were classified high risk; thus, priority be taken defined. classification prioritization facilitated implementation measures mitigate or eliminate risks, pointed out by company managers. Research limitations/implications One limitations fact specific knowledge required maintain update tool used study. Another one implies approach managing under different ISO standards sector-specific requirements, since require updates customization model. Practical implications contemporary business environments can supported robust approach. In addition, it provides leadership holistic view multiple aspects related fosters continuous improvement. Social social study are assessed indirectly. improvement models. Originality/value Traditionally, usually applied independently techniques such failure mode effect analysis. developed work enables manage continuously achieve organizational issues greater transparency processes.

Language: Английский

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A probabilistic uncertain linguistic approach for FMEA‐based risk assessment

Quality and Reliability Engineering International, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Abstract Failure Mode and Effect Analysis (FMEA) is acknowledged as a beneficial instrument for identifying mitigating system failures. However, the traditional FMEA method has its limitations. For instance, crisp numbers fail to adequately represent intricate information cognitive nuances of experts. Additionally, conventional approach overlooks significance weights assigned experts risk factors (RFs). Furthermore, simplistic ranking failure modes in does not accurately reflect priorities. In light these drawbacks, this paper introduces an innovative, fully data‐driven method, leveraging probabilistic uncertain linguistic term sets (PULTSs) environment Weighted Aggregates Sum Product Assessment (WASPAS) method. assessment process, PULTSs serve tools that express probability distribution, allowing more reasonable precise description information. To address issue RFs, regret theory Modified CRITIC are employed. Subsequently, WASPAS applied determine rankings modes. illustrate feasibility rationality novel model, includes example involving production Lithium‐ion batteries. emphasize excellence proposed sensitivity comparative analyses carried out.

Language: Английский

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An Enhanced Failure Mode and Effects Analysis Risk Identification Method Based on Uncertainty and Fuzziness

Journal of Engineering Management and Systems Engineering, Journal Year: 2024, Volume and Issue: 3(3), P. 116 - 131

Published: Aug. 14, 2024

To address the challenges in traditional Failure Mode and Effects Analysis (FMEA) related to determining factor weights, identifying risk priority of failure modes, managing uncertainties assessment process, this paper proposes an enhanced FMEA evaluation method. This method integrates incomplete imprecise expert assessments using a fuzzy multi-criteria compromise ranking technique called "V1seKriterijumska Optimizacija I Kompromisno Resenje" (VIKOR). By employing Fuzzy Evidence Reasoning (FER), ratings are represented belief structures capture their diversity uncertainty. Objective weights adjusted Shannon entropy correct subjective VIKOR is applied prioritize modes based on principles minimizing individual regret maximizing group utility. The improved model identify key equipment associated with oil gas leakage Floating Production Storage Offloading (FPSO) system. Validity sensitivity analysis confirm robustness reliability method, enhancing accuracy credibility results.

Language: Английский

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