Future of artificial intelligence and its influence on supply chain risk management–A systematic review

AD Ganesh, P Kalpana - Computers & Industrial Engineering, 2022 - Elsevier
Abstract Supply Chain Risk Management (SCRM) is a rapidly growing field of research
encompassing identification, assessment, mitigation, and monitoring of the risks or …

Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: A systematic survey

N Talpur, SJ Abdulkadir, H Alhussian… - Artificial intelligence …, 2023 - Springer
Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …

A quantitative dynamic risk assessment for ship operation using the fuzzy FMEA: The case of ship berthing/unberthing operation

S Goksu, O Arslan - Ocean Engineering, 2023 - Elsevier
Ships are exposed to static risks that stem from the nature of the operation as well as human,
machine, and environmental factors and have a complex and multi-layered system that also …

On-device iot-based predictive maintenance analytics model: Comparing tinylstm and tinymodel from edge impulse

IN Mihigo, M Zennaro, A Uwitonze, J Rwigema… - Sensors, 2022 - mdpi.com
A precise prediction of the health status of industrial equipment is of significant importance to
determine its reliability and lifespan. This prediction provides users information that is useful …

New FMEA risks ranking approach utilizing four fuzzy logic systems

J Ivančan, D Lisjak - Machines, 2021 - mdpi.com
Process equipment and plant maintenance problems are complex in the oil refinery
business, since effective maintenance needs to ensure the reliability and availability of the …

Prioritization of hazardous zones using an advanced risk management model combining the analytic hierarchy process and fuzzy set theory

K Kwon, M Kang, D Kim, H Choi - Sustainability, 2023 - mdpi.com
Risk management plays a vital role in ensuring the safety and efficiency of tunnel
construction by considering various factors, including uncertainties associated with …

Multi-objective optimization for preventive maintenance of offshore safety critical equipment integrating dynamic risk and maintenance cost

Y Han, X Zhen, Y Huang - Ocean Engineering, 2022 - Elsevier
Safety-critical equipment (SCE) are installed on offshore installations as important safety
barriers to prevent the occurrence of major accident. In order to ensure the specified safety …

A fuzzy decision support system for managing maintenance activities of critical components in manufacturing systems

İ Erozan - Journal of Manufacturing Systems, 2019 - Elsevier
Management of critical components in manufacturing systems aims at managing
components with very low reliability or the highest risk which can cause disruptions in …

Action selection in risk assessment with fuzzy Fine–Kinney-based AHP-TOPSIS approach: a case study in gas plant

B Dogan, M Oturakci, C Dagsuyu - Environmental Science and Pollution …, 2022 - Springer
In this study, the hazards occurring in a medium-sized gas filling facility were defined, and
the risk scores of these hazards were determined by the expert team according to the Fine …

Improvement of failure mode and effects analysis using fuzzy and adaptive neuro-fuzzy inference system

J Ivančan, D Lisjak, D Pavletić, D Kolar - Machines, 2023 - mdpi.com
The reliable operation of a process plant is critical to the safety, performance, and
profitability of a business. Failure Mode and Effects Analysis (FMEA) is a process of …