Semi-supervised learning based on temporal-spatial adaptive algorithm and its recognition mechanism for carbonate ester production process monitoring DOI
Li Yao, Xiaolong Ge,

Botan Liu

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Encouraging Safety 4.0 to enhance industrial culture: An extensive study of its technologies, roles, and challenges DOI Creative Commons

Abid Haleem,

Mohd Javaid, Ravi Pratap Singh

et al.

Green Technologies and Sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 100158 - 100158

Published: Dec. 1, 2024

Language: Английский

Citations

0

Toward sustainable process safety management 4.0 versus process safety management DOI
Shatrudhan Pandey, Abhishek Kumar Singh, Shreyanshu Parhi

et al.

Process Safety Progress, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 25, 2024

Abstract Process safety management (PSM) in the transition toward sustainability has garnered increasing attention emerging era of Industry 5.0 (I5.0). This study provides an inclusive proposal for a sustainable process 4.0 (SPSM 4.0) framework, concentrating on its evolution, drivers, and comprehensive framework highlighting structures applications. The core values I5.0 (sustainability, human‐centricity, resilience) advanced technologies like artificial intelligence (AI), industrial Internet things (IIoT), cyber‐physical systems (CPS) are integrated with PSM system. SPSM aims to alter ecosystem through applications digital transformations at workplace by ensuring safety, well‐being employees assets while leveraging socioeconomic environmental concerns improved efficiency. proposed bridges gap between sustainability, which serves as foundation stone future guidelines targeted practitioners, policymakers, academicians. In addition, proposes umbrella paradigm integrating pillars landscape. Concluding, research focuses critical discussion decision support system operationalizing suggesting takeaways managers researchers.

Language: Английский

Citations

0

Semi-supervised learning based on temporal-spatial adaptive algorithm and its recognition mechanism for carbonate ester production process monitoring DOI
Li Yao, Xiaolong Ge,

Botan Liu

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

0