Analysis of the use of artificial intelligence in the management of Industry 4.0 projects. The perspective of Polish industry

Wachnik, Bartosz

doi:10.30657/pea.2022.28.07

Cited by 19 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Beyond simple detection, our system identifies and proactively responds to anomalous events, thus providing a more complete and autonomous solution [34]. Based on prior learning and identified trends, this capacity for independent action places our system at the forefront of modern industrial monitoring solutions [35].…”

Section: Discussionmentioning

confidence: 99%

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection

Villegas-Ch,

Govea,

Jaramillo-Alcazar

2023

Sensors

View full text Add to dashboard Cite

The Industrial Revolution 4.0 has catapulted the integration of advanced technologies in industrial operations, where interconnected systems rely heavily on sensor information. However, this dependency has revealed an essential vulnerability: Sabotaging these sensors can lead to costly and dangerous interruptions in the production chain. To address this threat, we introduce an innovative methodological approach focused on developing an anomaly detection algorithm specifically designed to track manipulations in industrial sensors. Through a series of meticulous tests in an industrial environment, we validate the robustness and accuracy of our proposal. What distinguishes this study is its unique adaptability to various sensor conditions, achieving high detection accuracy and prompt response. Our algorithm demonstrates superiority in accuracy and sensitivity compared to previously established methodologies. Beyond detection, we incorporate a proactive alert and response system, guaranteeing timely action against detected anomalies. This work offers a tangible solution to a growing challenge. It lays the foundation for strengthening security in industrial systems of the digital age, harmonizing efficiency with protection in the Industry 4.0 landscape.

show abstract

Section: Discussionmentioning

confidence: 99%

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection

Villegas-Ch,

Govea,

Jaramillo-Alcazar

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The challenge arises from the difficulty of quickly demonstrating a return on investment, which consequently deters securing the requisite funding. The long time it takes to realize tangible benefits further discourages investment [8,33]. Nevertheless, the experience gleaned from the adoption of Industry 4.0 shows that the present course of action is well advised.…”

Section: Discussionmentioning

confidence: 99%

Developing Industry 5.0 To Effectively Harness Production Capacities

Górny

2023

Management Systems in Production Engineering

View full text Add to dashboard Cite

The dynamic evolution of the economy and the evolving demands necessitating adaptability are primary catalysts for the emergence of Industry 5.0 which, building on the foundations of Industry 4.0, is oriented towards meeting human needs and expectations while ensuring the responsible functioning of the workforce. This is particularly salient in sectors experiencing rapid advancements in manufacturing concepts, characterized by the integration of advanced IT, information and data utilization, automation, and the deployment of collaborative robots, often referred to as “cobots”. The study outlines the key prerequisites concerning the development and operation of Industry 5.0, as specified in European Union guidelines, and evident in research literature. Three critical facets pertinent to the effective implementation of Industry 5.0 are extensively addressed, encompassing the imperative to effectively cater to human-related requisites and highlighting the potential benefits therein. The paper offers an overview of openly accessible, previously published materials on the subject. The author’s examination encompasses studies regarded as milestones, which build on the foundations of Industry 4.0 to advance the conceptual framework of Industry 5.0. Rather than centering on statistical analysis, this research attempts to explore relationships that warrant further in-depth investigation to ascertain existing correlations. The paper seeks to outline factors to be considered in the course of implementing Industry 5.0. Its conclusions may be of use in supporting people responsible for organizational development and specifically in helping them to identify potential issues so as to give their organization an edge in the global competitive environment.

show abstract

“…In recent years, several studies have been conducted on the problem of assessing the level of application of intelligent technologies in the country's economy. For example, Bartos Wachnyk in his article "Analysis of the use of artificial intelligence in the management of Industry 4.0 projects" describes the methodology of analyzing the use of artificial intelligence in the projects of Polish enterprises and determines the factors affecting the level of application of artificial intelligence [1].…”

Section: Analysis Of Recent Research and Publicationsmentioning

confidence: 99%

Methods of Assessing the Level of Application of Intellectual Technologies in the Country’s Economy

Товстик,

Іванов

2024

VEN

View full text Add to dashboard Cite

The article systematizes methods for assessing the level of application of intelligent technologies in the country’s economy, which is an important task that allows determining the degree of use of innovative solutions in the business sphere and increasing the country’s competitiveness in the global world. The classification of indicators for the assessment of intellectual potential has been carried out. Various evaluation methods are considered, including analysis of economic indicators, surveys of business and population, measurement of the relative importance of markets and the amount of investments in the development of intelligent technologies. International ratings that evaluate human capital have been determined. The basic levels of assessment of intellectual potential are considered. The positive aspects of the application of intelligent technologies in the creation of new markets and business models, which are able to ensure the growth of the economy and the development of society as a whole, have been established. The main purposes and tasks of intelligent technologies are defined, which is characterized by understanding the state of the economy and determining the strategy of its development. Scientific works on the assessment of the level of application of artificial intelligence (AI) and machine learning (ML) in the economy and the use of methods for measuring the impact of AI and ML on productivity, reducing costs and improving the quality of work in business have been studied. It is emphasized that the assessment of the level of application of intelligent technologies in the country’s economy is a complex process that requires the involvement of a large amount of various data and its analysis using modern methods of information technology, however, with a thorough assessment, it allows to identify the weak points of the economy and provide recommendations for their improvements, which helps increase the efficiency of the intelligent technologies and ensures the economic growth of the country, reducing costs and improving the quality of business operations.

show abstract

Analysis of the use of artificial intelligence in the management of Industry 4.0 projects. The perspective of Polish industry

Cited by 19 publications

References 17 publications

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection

Developing Industry 5.0 To Effectively Harness Production Capacities

Methods of Assessing the Level of Application of Intellectual Technologies in the Country’s Economy

Contact Info

Product

Resources

About