Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things

Oeconomia Copernicana, Journal Year: 2023, Volume and Issue: 14(4), P. 1097 - 1138

Published: Dec. 30, 2023

Research background: The article explores the integration of Artificial Intelligence (AI) in predictive maintenance (PM) within Industrial Internet Things (IIoT) context. It addresses increasing importance leveraging advanced technologies to enhance practices industrial settings. Purpose article: primary objective is investigate and demonstrate application AI-driven PM IIoT. authors aim shed light on potential benefits implications incorporating AI into strategies environments. Methods: employs a research methodology focused practical implementation algorithms for PM. involves analysis data from sensors other sources IIoT ecosystem present models. methods used study contribute understanding feasibility effectiveness solutions. Findings & value added: presents significant findings regarding impact operations. discusses how contributes increased efficiency. added lies providing insights transformative optimizing improving overall performance.

Language: Английский

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A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities

Journal of Economy and Technology, Journal Year: 2023, Volume and Issue: 1, P. 127 - 143

Published: Aug. 24, 2023

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 adopted for various requirements, like answering our inquiries, assisting us with content creation, translating languages, more. The fourth industrial revolution, called "Industry 4.0," denotes a new production age focused on automation, digitalisation, real-time connectivity of systems. help Industry 4.0 variety ways. AI-driven process optimisation poised revolutionise by enhancing productivity, quality assurance, efficiency. For developing this paper, articles ChatGPT/ AI were identified through Scopus, ScienceDirect, Google Scholar ResearchGate. progresses due the incorporation cutting-edge technology AI, Machine Learning (ML), NLP Manufacturing operations are changing. language model becoming well-known daily use because its promising applications. In framework 4.0, it promises processes assist advancement boosting business productivity This paper studies major need 4.0. Various associated features, traits versatile competencies briefed. Finally, identifies discusses significant applications very flexible efficient method creating human-machine interfaces automatically generating text, which provides proper knowledge guidance employee. Applications include chatbots, virtual assistants, automated customer care, translation, production. future, will become effective communication automating

Language: Английский

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Evaluating the Interrelationships of Industrial 5.0 Development Factors Using an Integration Approach of Fermatean Fuzzy Logic

Journal of Operations Intelligence, Journal Year: 2024, Volume and Issue: 2(1), P. 95 - 113

Published: Jan. 23, 2024

The maturation of the Industry 4.0 concept has brought numerous benefits to human society. However, it is not without its challenges, including neglect worker welfare, vulnerability global supply chains, and environmental degradation. To enhance adaptability concept, 5.0 been developed. As now, practical implementation yet fully realized. This paper presents a novel conceptual framwork analyze evaluate complex interrelationships development factors in Industrial 5.0. Through extensive literature review prolonged interviews with experts, three critical dimensions their 18 key for have identified. Herein, combination Fermatean Fuzzy sets (FFs) Decision-Making Trial Evaluation Laboratory (DEMATEL) employed discern among these factors, an Influential Network Relationship Map (INRM) constructed aid decision-makers formulating improvement strategies. results indicate that “Sustainable Development” most influential dimension, “Renewable Energy,” “Data-Driven Analysis Technologies,” “Distributed Control” emerging as significant within respective dimensions.

Language: Английский

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Empirical exploration of predictive maintenance in concrete manufacturing: Harnessing machine learning for enhanced equipment reliability in construction project management

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 190, P. 110046 - 110046

Published: March 4, 2024

Language: Английский

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Joint optimization of loading, mission abort and rescue site selection policies for UAV

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 244, P. 109955 - 109955

Published: Jan. 26, 2024

Language: Английский

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Maintenance policies for protection systems with imperfect inspection and imperfect reepair

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110798 - 110798

Published: Jan. 1, 2025

Language: Английский

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Maintenance 4.0: Optimizing Asset Integrity and Reliability in Modern Manufacturing

International Journal of Inventive Engineering and Sciences, Journal Year: 2025, Volume and Issue: 12(2), P. 18 - 26

Published: Feb. 20, 2025

The reliability of critical assets is essential for operational success and long-term sustainability in modern manufacturing. Asset Integrity Management (AIM) ensures reliability, availability, maintainability, safety (RAMS) while minimizing risks costs. Industry 4.0 technologies—such as the Internet Things (IoT), Artificial Intelligence (AI), Big Data analytics—have revolutionized maintenance strategies, enabling real-time monitoring, predictive diagnostics, data-driven decision-making. These advancements have transformed AIM, optimizing asset performance efficiency. Maintenance leverages these technologies to integrate preventive maintenance, proactive repairs, reducing costly failures, enhancing equipment productivity. This paper examines impact on focusing transition from reactive intelligent, technology-driven solutions. It highlights benefits improved efficiency, optimized schedules, cost reduction, risk mitigation, competitive manufacturing sector. Through a comprehensive literature review, this study identifies gaps aligning traditional practices with emerging proposes framework address challenges. By combining advanced digital established AIM principles, research offers strategic roadmap integrity, achieving excellence, fostering sustainable growth

Language: Английский

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PAOLTransformer: Pruning-adaptive optimal lightweight Transformer model for aero-engine remaining useful life prediction

Reliability Engineering & System Safety, Journal Year: 2023, Volume and Issue: 240, P. 109605 - 109605

Published: Sept. 1, 2023

Language: Английский

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Industry 5.0 and sustainability: An overview of emerging trends and challenges for a green future

Innovation and Green Development, Journal Year: 2024, Volume and Issue: 3(4), P. 100173 - 100173

Published: Aug. 19, 2024

Language: Английский

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Condition-based maintenance policy for systems under dynamic environment

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 246, P. 110072 - 110072

Published: March 11, 2024

Language: Английский

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