[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …
conducted a comprehensive analysis of 344 eligible journal papers published between …
[HTML][HTML] AI-based decision support systems in Industry 4.0, A review
The development of modern technologies such as the Internet of Things (IoT), cloud
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
Machine learning scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects
Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …
identifying potential equipment failures in advance, reducing downtime, and increasing the …
[HTML][HTML] The advance of digital twin for predictive maintenance: The role and function of machine learning
The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …
[HTML][HTML] A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities
Abstract ChatGPT is an Artificial Intelligence (AI)-powered Natural Language Processing
(NLP) tool that comprehends and produces text in response to given commands. It can be …
(NLP) tool that comprehends and produces text in response to given commands. It can be …
Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems
Scientific research on emerging technologies underscored the advantages of their
implementation within production systems, with a particular focus on artificial intelligence …
implementation within production systems, with a particular focus on artificial intelligence …
[HTML][HTML] A fuzzy TOPSIS model for selecting digital technologies in circular supply chains
Several digital technologies are available to facilitate the transition toward a circular supply
chain infrastructure. Small-Medium Enterprises (SMEs) should assess their readiness and …
chain infrastructure. Small-Medium Enterprises (SMEs) should assess their readiness and …
A machine-learning based data-oriented pipeline for prognosis and health management systems
The search for effective asset utilization has been constant, especially in industries with
evolving mechanization. In this context, maintenance management gains visibility because it …
evolving mechanization. In this context, maintenance management gains visibility because it …
Green loops and clean skies: Optimizing municipal solid waste management using data science for a circular economy
Abstract The interplay between Municipal Solid Waste (MSW) Management and data
science unveils a panorama of opportunities and challenges, set against the backdrop of …
science unveils a panorama of opportunities and challenges, set against the backdrop of …
Tech-Business Analytics in Secondary Industry Sector
Purpose: Businesses in all sectors, including the secondary industry, will turn to tech-
business analytics as a crucial tool. Tech-Business Analytics' role in the secondary industrial …
business analytics as a crucial tool. Tech-Business Analytics' role in the secondary industrial …