Virtual Assistance in the Context of the Industry 4.0: A Case Study at Continental Advanced Antenna

Reis, Arsénio; Barroso, João; Santos, Arlindo; Rodrigues, Paulo Henrique Mazza; Pereira, R. Araujo

doi:10.1007/978-3-031-04826-5_64

Cited by 3 publications

(9 citation statements)

References 13 publications

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Mentioning

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“…Li et al [32] -Trappey et al [33] --Reis et al [34] -Pavlov et al [35] --Casillo et al [36] --Mantravadi et al [37] -Rooein et al [38] --Amendano-Murrillo et al [39] --" " signifies the consideration of the characteristic, while "-" indicates that the characteristic is not present.…”

Section: Based On Principlesmentioning

confidence: 99%

“…VAs in the I4.0 paradigm play an important role in providing real-time information so that operators or directors can have accessible and filtered information for better decisionmaking. Li et al [32], Reis et al [34], and Mantravadi et al [37] presented solutions that enable real-time information retrieval reflecting the status of a machine or factory. Li et al [32] connected machines and robots through APIs to visualize the state of robots and the tasks they were executing, to monitor machines, and to act quickly in case of failure or breakdown.…”

Section: Virtual Assistancementioning

confidence: 99%

“…Li et al [32] connected machines and robots through APIs to visualize the state of robots and the tasks they were executing, to monitor machines, and to act quickly in case of failure or breakdown. Reis et al [34] presented an assistant from the perspective of production directors and managers, where the assistant responds to production status information (recorded stoppages, quantity of produced products, etc.) and performs automatic reports, acting as an interface and automatic filter for factory systems such as an MES or ERP.…”

Section: Virtual Assistancementioning

confidence: 99%

“…and performs automatic reports, acting as an interface and automatic filter for factory systems such as an MES or ERP. Similar to [34], Reference [37] also presented a chatbot that acts as an interface between the MES and the workers.…”

Section: Virtual Assistancementioning

confidence: 99%

“…Li et al [32], Reis et al [34], Pavlov et al [35], and Mantravadi et al [37] presented integration services that help support their solutions. Li et al [32] presented an integration service to an API for the control and monitoring of a specific type of robot.…”

Section: Physical Assistancementioning

confidence: 99%

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Virtual Assistants in Industry 4.0: A Systematic Literature Review

Pereira,

Lima,

Pinto

et al. 2023

Electronics

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Information and Communication Technologies are driving the improvement of industrial processes. According to the Industry 4.0 (I4.0) paradigm, digital systems provide real-time information to humans and machines, increasing flexibility and efficiency in production environments. Based on the I4.0 Design Principles concept, Virtual Assistants can play a vital role in processing production data and offer contextualized and real-time information to the workers in the production environment. This systematic review paper explored Virtual Assistant applications in the context of I4.0, discussing the Technical Assistance Design Principle and identifying the characteristics, services, and limitations regarding Virtual Assistant use in the production environments. The results showed that Virtual Assistants offer Physical and Virtual Assistance. Virtual Assistance provides real-time contextualized information mainly for support, while Physical Assistance is oriented toward task execution. Regarding services, the applications include integration with legacy systems and static information treatment. The limitations of the applications incorporate concerns about information security and adapting to noisy and unstable environments. It is possible to assume that the terminology of Virtual Assistants is not standardized and is mentioned as chatbots, robots, and others. Besides the worthy insights of this research, the small number of resulting papers did not allow for generalizations. Future research should focus on broadening the search scope to provide more-significant conclusions and research possibilities with new AI models and services, including the emergent Industry 5.0 concept.

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