Cyber-Physical Production Systems supported by Intelligent Devices (SmartBoxes) for Industrial Processes Digitalization

Torres, Pedro; Dionísio, Rogério; Malhao, Sergio; Neto, Luís; Ferreira, Ricardo; Gouveia, Helena; Castro, H.F.

doi:10.1109/rtsi.2019.8895553

Cited by 4 publications

(15 citation statements)

References 11 publications

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“…It can be seen that the type of chosen sensors is different from industries such as textile [97], food processing [51], and car assembly [75]. On the other hand, within the same industry, different sensors are chosen due to the different machine Oil extraction [54] Flow sensor Measure the flow of the substances.…”

Section: ) Sensors Deploymentmentioning

confidence: 99%

“…The chosen communication protocol for the system. OPC Unified Architecture (OPC UA) Textile [15], [71], [97], Phone assembly experimental plant [110], Food processing [51], [73], FMS system [12], [16], [65], Sand core [68], Metal cutting [93], [118],…”

Section: Communication Protocolmentioning

confidence: 99%

“…Industrial robot [17], Assembly line [77], Metal forming [97], [112], Modular Production System [56], Candy packaging [52], Lab experiment [113], [119] Python-OPC UA High-bay shelf warehouse [94] OPC DA Steel Mill [20]…”

Section: Communication Protocolmentioning

confidence: 99%

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Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Tran

Ruppert

Eigner³

et al. 2022

IEEE Access

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The ongoing Industry 4.0 is characterized by the connectivity between components in the manufacturing system. For modern machines, the Internet of Things is a built-in function. In contrast, there are legacy machines in deployment functioning without digital communication. The need to connect them became popular to improve overall production efficiency. As building a new smart factory as a greenfield investment is a capital-intensive choice, retrofitting the existing infrastructure with IoT capability is more reasonable than replacing them. However, this so-called brownfield development, or retrofitting, requires specific prerequisites, e.g., digitization status assessment, technical and connectivity development, management requirement, and operational need, representing a significant disadvantage: lack of scalability. In the meantime, Industry 5.0 is under human-centric priority, which poses new challenges to the retrofitted system. Aware of the challenge, this paper provides a systematic overview of brownfield development regarding technical difficulties, supporting technologies, and possible applications for the legacy system. The research scope focuses on available Industry 4.0 advancements but considers preparing for the forthcoming Industry 5.0. The proposed retrofitting project approach can be a guideline for manufacturers to transform their factories into intelligent spaces with minimal cost and effort but still gain the most applicable solution for management needs. The future direction for other research in brownfield development for Industry 5.0 is also discussed.

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Section: ) Sensors Deploymentmentioning

confidence: 99%

Section: Communication Protocolmentioning

confidence: 99%

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Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Tran

Ruppert

Eigner³

et al. 2022

IEEE Access

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“…This study differs from the works presented in this research regarding the application of CPPS (Hu et al, 2016;Lee et al, 2017;Lee et al, 2018;Drennan-Stevenson, 2019;Cruz Salazar et al, 2018;Ashtari Talkhestani et al, 2019;among others presented), as its focus is on the evaluation of cyberphysical production systems from the point of view of operations management, while most of the works on the subject work from the point of view of the science of computing. However, the approach to work with a focus on the shop floor stands out, especially Romero-Silva & Hernández-López (2020), Govender et al (2019), Torres et al (2019), andRocha et al (2019).…”

Section: Integration Of Machines and The Production Processmentioning

confidence: 99%

“…Recently studies have investigated CPPSs in the most different contexts, such as digital twin (Zhang et al, 2019;Zang et al, 2020;Liu et al, 2020;Ait-Alla et al, 2019), internet of things (Berlak et al, 2020;Stock et al, 2020), cloud computing (Mourtizis & Vlachou, 2016;Mourad et al, 2020;Borangiu et al, 2020), voice assistant (Afanasev et al, 2019) and shop floor (Romero-Silva & Hernández-López, 2020;Govender et al, 2019;Torres et al, 2019;Rocha et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Cyber-physical production system assessment within the manufacturing industries in the Amazon

Coelho

Oliveira

Dessimoni

et al. 2022

Int. J. Prod. Manag. Eng.

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Cyber-physical production systems (CPPS) represent a relevant aspect related to industry 4.0 and the advances promoted by the digitization and use of artificial intelligence in the production environment in the search for the development of smart factories. This study aims to assess the maturity level of cyber-physical production system (CPPS) within manufacturing industries in the Amazon. The research uses a quali-quantitative approach to analyze the problem by conducting exploratory case studies (indepth case) and the research framework used aimed to evaluate and measure the CPPS within three manufacturing industries in the Amazon (n = 3) to measure their maturity. Findings reveal a positive relationship between the type of production system adopted by the company, the level of automation, and the maturity of the CPPS. The proposed methodology can assist other companies in the development of the technological strategy, supporting the digital transformation process in order to obtain competitive advantage. The study contributes by addressing the topic of cyber-physical production systems from the point of view of operations management and strategy.

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Machinery Retrofiting for Industry 4.0

Torres

Dionísio

Malhao

et al. 2021

Lecture Notes in Mechanical Engineering

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Cyber-Physical Production Systems supported by Intelligent Devices (SmartBoxes) for Industrial Processes Digitalization

Cited by 4 publications

References 11 publications

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Cyber-physical production system assessment within the manufacturing industries in the Amazon

Machinery Retrofiting for Industry 4.0

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