Results 31 to 40 of about 324 (126)

Harnessing Generative AI Within Human‐Aligned Constraints: Exploring Control Strategies and Existential Considerations

open access: yesEngineering Reports, Volume 8, Issue 7, July 2026.
We propose the Powerful‐but‐Limited Generative AI theorem, demonstrating that embedding human‐inspired constraints, such as fixed utility functions and neuro‐symbolic submission layers, ensures generative AI remains controllable by preventing self‐improvement beyond designer intent.
Saeed Banaeian Far   +3 more
wiley   +1 more source

Risk Analysis Under Uncertainty, Subjectivity, and Incomplete Knowledge: With a Use Case of Energy System Failures

open access: yesEngineering Reports
The reliability of gas turbines is crucial due to their critical applications in energy systems and the increasing complexity of their design and operation.
Ali Aghazadeh Ardebili   +2 more
doaj   +1 more source

Combined Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma for Generating Waste Reduction Strategy: A Proposed Model

open access: yesJurnal Teknik Industri, 2023
Lean Six Sigma is a method that is quite effective in solving waste problems in the production process, but it is often not optimal because of the tools used in the DMAIC process.
Demas Emirbuwono Basuki   +4 more
doaj   +1 more source

Aircraft Fuel System Fuzzy FMEA and FMECA Analysis [PDF]

open access: yesAdvances in Intelligent Systems Research, 2015
Through quantitative analysis,The paper use computer technology and mathematical methods, combined with FMEA and FMECA , the paper organized the failure of an aircraft fuel system parts in recent years ,we set up fault model system to analysis Fuel system of Certain type aircraft , expanding the way of maintenance and support.
Ruili Zhang   +3 more
openaire   +1 more source

Redesigning Risk Assessments in the Age of AI: Emergence of the Opacity Risk Dimension

open access: yesRisk Analysis, Volume 46, Issue 6, June 2026.
ABSTRACT The foundational instruments of organizational risk analysis, most notably the two‐dimensional Impact × Probability matrix, were designed for failures in traditional and predictable systems. As such, they are ill‐equipped to address the unpredictability and complexity that define modern artificial intelligence.
Helmi Issa
wiley   +1 more source

Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)

open access: yesAgriculture, 2020
Failure mode and effects analysis (FMEA) is a popular technique in reliability analyses. In a typical FMEA, there are three risk factors for each failure modes: Severity (S), occurrence (O), and detectability (D).
Peyman Zandi   +3 more
doaj   +1 more source

More Than 10 Years on: Does a State‐of‐the‐Art Review and Synthesis Offer New Frameworks to Guide Future Design for Remanufacturing Research?

open access: yesBusiness Strategy and the Environment, Volume 35, Issue 4, Page 5194-5235, May 2026.
ABSTRACT There is strong evidence that design for remanufacturing (DfRem) can reduce initial‐design carbon emissions by up to 30%, and that product design can critically affect remanufacturing feasibility, yet academic adoption of DfRem remains limited.
Okechukwu Okorie   +4 more
wiley   +1 more source

A Novel Method for Failure Mode and Effect Analysis Based on the Fermatean Fuzzy Set and Bonferroni Mean Operator

open access: yesMachines
Failure mode and effects analysis (FMEA) helps to identify the weak points in the processing, manufacturing, and assembly of products and plays an important role in improving product reliability.
Liangsheng Han   +3 more
doaj   +1 more source

Failure Mode and Effect Analysis (FMEA) with Extended MULTIMOORA Method Based on Interval-Valued Intuitionistic Fuzzy Set: Application in Operational Risk Evaluation for Infrastructure

open access: yesInformation, 2019
Failure Mode and Effect Analysis (FMEA) is a useful risk assessment tool used to identify, evaluate, and eliminate potential failure modes in numerous fields to improve security and reliability.
Lelin Lv   +4 more
doaj   +1 more source

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

open access: yesFuel Cells, Volume 26, Issue 2, April 2026.
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi   +5 more
wiley   +1 more source

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