Internet of Things Concept for Informing Visually Impaired Persons in Smart Factory Environments

Peraković, Dragan; Periša, Marko; Cvitić, Ivan; Zorić, Petra

doi:10.1007/978-3-030-14011-3_7

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…Lean manufacturing is based on the principles and processes of the Toyota production system (TPS) [32]. The TPS developed as a result of the market requiring the production of small quantities of many varieties under low demand conditions after World War II to test whether Japanese car manufacturers could compete with the mass production systems established in Europe and the United States [33]. Toyota produced automobiles with less inventory, human effort, investment, and defects and introduced a greater variety of products [34].…”

Section: Lean Production System and Improvement Strategiesmentioning

confidence: 99%

“…With the help of these technologies, the quality of life for workers as well as the working conditions for people with disabilities can be significantly improved. For example, the implementation of specific technologies in the workplace can assist workers with visual impairments by increasing their mobility and participation in various activities [33].…”

Section: Improvement Strategies and Industry 40 In Project Decision Making And Managementmentioning

confidence: 99%

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A Systematic Improvement Model to Optimize Production Systems within Industry 4.0 Environments: A Simulation Case Study

Groten

Gallego-García

2021

Applied Sciences

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The industrial revolutions and their impact on production systems have increased productivity and quality in manufacturing over time. Lean methods have been the driver of the development of production systems from the 1990s to the rise of the fourth industrial revolution, or Industry 4.0. However, many different approaches and methodologies have been described, applied, and discussed for achieving improvements in production systems. As a result, organizations are often confused in regard to the order, the convenience, and the outcomes intended by the different improvement strategies and techniques. This paper provides a systematic sequence of process optimization steps that can be applied to any organization. A conceptual model was built based on the systematic sequence. In addition, a simulation model was built with the goal of representing and quantifying the sequential steps of the conceptual model. The results of the simulation model show a clear improvement in quality, performance, and economic indicators, with the first two steps in the optimization sequence providing critical initial information, while the three last steps served as net contributors to a global production system improvement for demanding market scenarios. Finally, we analyzed the impacts of Industry 4.0 on production systems and developed a methodological sequence to design, select, implement, and control projects, even those that include Industry 4.0 technologies.

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Section: Lean Production System and Improvement Strategiesmentioning

confidence: 99%

Section: Improvement Strategies and Industry 40 In Project Decision Making And Managementmentioning

confidence: 99%

A Systematic Improvement Model to Optimize Production Systems within Industry 4.0 Environments: A Simulation Case Study

Groten

Gallego-García

2021

Applied Sciences

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“…Together with wireless technologies, open source hardware, and single board computers, the utilization of messaging protocols such as message queuing telemetry transport (MQTT) is equally integrated into the IoT, such as in the systems for supporting intelligent transport [29]. Additionally, ICT can enhance the experience of disabled persons, e.g., visually impaired ones in industrial facilities [30]. However, the implementation of ICT technologies in industrial environments is faced with various challenges, such as security, interoperability, alignment to the internal strategy, and the limitations of the technology to be implemented [31].…”

Section: Introductionmentioning

confidence: 99%

A Model for Working Environment Monitoring in Smart Manufacturing

et al. 2021

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The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.

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