Ontologies for Industry 4.0

Ragavan, Sampath Kumar Veera; Khamis, Alaa; Fiorini, Sandro Rama; Carbonera, Joel Luís; Alarcos, Alberto Olivares; Habib, Maki K.; Gonçalves, Paulo J. S.; Li, Howard; Olszewska, Joanna Isabelle

doi:10.1017/s0269888919000109

Cited by 62 publications

(24 citation statements)

References 102 publications

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“…nologists need to be aware of, notably how people will generate enough earnings to live on as more and more tasks in current jobs are performed by robots as well as advanced data communication systems and embedded intelligence [43] and artificial intelligence. The history of previous industrial revolutions tell us that the lives of people changed dramatically during these tumultuous times [51,52].…”

Section: Resultsmentioning

confidence: 99%

“…These robots can work alongside workers and are more flexible in the production process often being able to perform multiple tasks rather than just a single task. According to Kumar et al [43] "I4.0 relies heavily on robotic agents which need to evolve and perform the main operations in the smart manufacturing environment and which are solicited to communicate with human operators, customers, or with diverse distributed partners". This highlights the closer relationship between robots and people in the production process both physically but also for the first time mentally as robots continue to evolve.…”

Section: Introductionmentioning

confidence: 99%

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Fear of Robots and Life Satisfaction

Hinks

2020

Int J of Soc Robotics

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The use of robots and in particular next-generation robots in the production of goods and services is increasing. What impact robots are having on people's quality of life, including workers, is as yet under-explored. This paper provides initial findings examining whether fear of robots is correlated with one aspect of quality of life: life satisfaction. After controlling for individual effects and country effects and using both standard ordinary least squares and a linear multilevel regression model, we find fear of robots correlates with lower reported life satisfaction. There are differences in the fear of robots and life satisfaction by age group, by how long countries have been members of the European Union and by whether we control for attitudes towards other things. We call for more research into attitudes towards technology and new technologies in particular, how these impact on current life satisfaction and other aspects of quality of life and to think more about how technological change and people's attitudes towards these can be more aligned.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fear of Robots and Life Satisfaction

Hinks

2020

Int J of Soc Robotics

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“…This heterogeneity creates a lack of interoperability between these devices and means that achieving a flexible digitalization between such devices is a challenge. Semantic technology is the solution that enabling the interoperable and flexible communication between these seamless devices, as well as between human and artificial agents [32]. Semantic web technologies offer a standardized representation of knowledge (i.e., RDF, RDF Schema, and OWL) and a semantic query language called SPARQL [33].…”

Section: E13 Seamless and Real-time Communication: A Seamless Commumentioning

confidence: 99%

Mapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals

et al. 2021

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The emerging of the fourth industrial revolution, also known as Industry 4.0 (I4.0), from the advancement in several technologies is viewed not only to promote economic growth, but also to enable a greener future. The 2030 Agenda of the United Nations for sustainable development sets out clear goals for the industry to foster the economy, while preserving social well-being and ecological validity. However, the influence of I4.0 technologies on the achievement of the Sustainable Development Goals (SDG) has not been conclusively or systematically investigated. By understanding the link between the I4.0 technologies and the SDGs, researchers can better support policymakers to consider the technological advancement in updating and harmonizing policies and strategies in different sectors (i.e., education, industry, and governmental) with the SDGs. To address this gap, academic experts in this paper have investigated the influence of I4.0 technologies on the sustainability targets identified by the UN. Key I4.0 element technologies have been classified to enable a quantitative mapping with the 17 SDGs. The results indicate that the majority of the I4.0 technologies can contribute positively to achieving the UN agenda. It was also found that the effects of the technologies on individual goals varies between direct and strong, and indirect and weak influences. The main insights and lessons learned from the mapping are provided to support future policy.

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“…The authors of [10,11] examine in detail the issues of organizing virtual enterprises using an ontological approach; work [12] discusses the role of ontological engineering in the implementation of the Industry 4.0 concept in general, and, in particular, in the organization of manufacturing in the post-industrial period. The scientific results reported in the cited publications allow the authors to argue that under the current conditions the only way to improve the efficiency of industrial business processes is to move from data-oriented technologies to knowledge-oriented technologies, among which the most advanced one is the ontological approach.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

Sobchak

Mykhalkiv

Babaiev

et al. 2020

EEJET

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This paper reports an ontological approach to designing intelligent decision support to control the quality of multi-layered double-glazed windows within the framework of a virtual instrument-building enterprise (VIE)that produces solar energy complexes. It is shown that improving the efficiency in solving the tasks related to managing the quality of VIE products necessitates the application of an ontological engineering toolset to create a unified knowledge space that would cover the manufacturing phase of a product's life cycle. The methodical basis for making an ontological information-analytical system (OIAS) to manage product quality was the tool platform "TODOS" (Ukraine) whose means were used to synthesize a set of ontological models that make up the intelligent core of OIAS. The OIAS knowledge-based inference procedure has been described when making a decision about a deviation in the manufacturing process that led to the emergence of damage. This procedure implies the implementation of direct and reverse inference based on the knowledge in the ontological environment and makes it possible to identify the sources of defects and damage and generate a solution to eliminating these sources. Procedures have been devised to assess the effectiveness of the development and application of OIAS to automate the quality management of multi-layered double-glazed windows. These procedures employ a set of indicators that reflect both the technical and economic components of the quality control process. It has been shown that during 2019 a typical subcontractor enterprise that applied the developed system managed to reduce the number of defective products by about 73 %. Further research areas have been identified, including the development of methodical means and, based on them, the toolsets for the deployment of industrial ontological quality management systems

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Ontologies for Industry 4.0

Cited by 62 publications

References 102 publications

Fear of Robots and Life Satisfaction

Fear of Robots and Life Satisfaction

Mapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals

Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

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