Context-Aware Applications in Industry 4.0: A Systematic Literature Review

Monteiro, Pedro T.; Lima, Claudio Cleverson de; Pinto, Tiago; Nogueira, Paulo; Reis, Arsénio; Filipe, Vítor

doi:10.1007/978-3-031-38318-2_30

Cited by 2 publications

(1 citation statement)

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“…According to [18], context is any information used to characterize the situation of an entity, while context data constantly change and can be highly heterogeneous. Context awareness provides services by examining the user's context to assist workers in decisionmaking and boost their activities, improving factory performance [38][39]. Thus, situation awareness refers to the continuous extraction of environmental information to be integrated with previous knowledge, updating the system in a real-world environment [40].…”

Section: Introductionmentioning

confidence: 99%

Modular Ontology to Support Manufacturing SMEs Toward Industry 4.0

Mora-Alvarez,

Hernandez-Uribe,

Luque-Morales

et al. 2023

Eng. Technol. Appl. Sci. Res.

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Industry 4.0 (I4.0) implementation is a hot topic among manufacturing organizations to reach smart factory status and integrate a fully connected ecosystem. Achieving such a transition presents notable challenges for Small and Medium Enterprises (SMEs) since they often face resource and skilled personnel limitations. This study developed a domain ontology to represent various stages of maturity toward I4.0 implementation. Ontology provides a tool for SMEs to self-assess in situations of machines, processes, and factories for the dimensions of control, integration, and intelligence. This study focused on the identification of classes and relationships according to I4.0 implementation situations in the context of a manufacturing setting, the reuse of ontologies related to the domain of observations to model situations, and the creation and validation of the ontology through the information obtained from the questionnaires applied to SMEs. Finally, the ontology delivers a tool to understand SMEs' current state concerning I4.0 implementation and plan based on informed decisions about the maturity state and the technology required to advance to the next stage in their manufacturing processes.

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Section: Introductionmentioning

confidence: 99%