[HTML][HTML] Artificial intelligence to solve production scheduling problems in real industrial settings: Systematic Literature Review

M Del Gallo, G Mazzuto, FE Ciarapica, M Bevilacqua - Electronics, 2023 - mdpi.com
This literature review examines the increasing use of artificial intelligence (AI) in
manufacturing systems, in line with the principles of Industry 4.0 and the growth of smart …

Critical review on data-driven approaches for learning from accidents: comparative analysis and future research

Y Niu, Y Fan, X Ju - Safety science, 2024 - Elsevier
Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

[HTML][HTML] Machine learning in manufacturing towards industry 4.0: From 'for now'to 'four-know'

T Chen, V Sampath, MC May, S Shan, OJ Jorg… - Applied Sciences, 2023 - mdpi.com
While attracting increasing research attention in science and technology, Machine Learning
(ML) is playing a critical role in the digitalization of manufacturing operations towards …

A social network analysis-based model for failure mode and effect analysis under linguistic preference relation environment

J Huang, W Guo, H Shi, HC Liu - Engineering Applications of Artificial …, 2023 - Elsevier
Failure mode and effect analysis (FMEA) is a proactive risk analysis technique widely used
to improve the reliability and safety of complex systems in various industries. Generally …

[HTML][HTML] A BIA-based quantitative framework for built physical asset criticality analysis under sustainability and resilience

M Aghabegloo, K Rezaie, SA Torabi, SM Khalili - Buildings, 2023 - mdpi.com
Asset-intensive industries, such as the construction industry, have experienced major
catastrophes that have led to significant operational disruptions. Physical asset failure has …

Identifying influential airports in airline network based on failure risk factors with TOPSIS

Y Du, X Lin, Y Pan, Z Chen, H Xia, Q Luo - Chaos, Solitons & Fractals, 2023 - Elsevier
As a kind of complex networks, airline network has been studied by more and more
scholars. How to identify influential airports in airline network is an open issue, which has …

[HTML][HTML] An Unsupervised Anomaly Detection Based on Self-Organizing Map for the Oil and Gas Sector

L Concetti, G Mazzuto, FE Ciarapica, M Bevilacqua - Applied Sciences, 2023 - mdpi.com
Anomaly detection plays a crucial role in preserving industrial plant health. Detecting and
identifying anomalies helps prevent any production system from damage and failure. In …

Applying association rules in the maintenance and reliability of physical systems: A review

RGN Paiva, CAV Cavalcante, P Do - Computers & Industrial Engineering, 2024 - Elsevier
This article begins by exploring the fundamental role of descriptive data mining in enhancing
maintenance and reliability across various physical systems. It then provides an in-depth …

[HTML][HTML] Research Progress of Urban Park Microclimate Based on Quantitative Statistical Software

J Lin, Y Deng, S Chen, K Li, W Ji, W Li - Buildings, 2023 - mdpi.com
Urban parks, as an important component of urban green spaces, play a crucial role in
improving the urban environment and enhancing residents' quality of life. This review …

[HTML][HTML] A decision support system to assess the operational safety and economic benefits of risk-based inspection implementation strategies

E Oropallo, P Piscopo, P Centobelli, R Cerchione… - Safety Science, 2024 - Elsevier
The modern industrial landscape is defined by increased competition, shorter response
times, lower costs, and more reliable processing to meet customer demands. As a result, it …