Device adapter concept towards enabling plug&amp;produce production environments

Dorofeev, Kirill; Cheng, Chih-Hong; Guedes, Magno; Ferreira, Pedro; Profanter, Stefan; Zoitl, Alois

doi:10.1109/etfa.2017.8247570

Cited by 30 publications

(16 citation statements)

References 10 publications

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“…Additive manufacturing processes are still inefficient uses of energy and need further investigation. To sustain lifespans, spare parts are produced and there is a set of varying end-of-life practices in additive manufacturing processes [49,89,105]. The techniques of additive manufacturing have a positive impact on maintenance and logistics.…”

Section: Environment Sustainabilitymentioning

confidence: 99%

Impact of Industry 4.0 on Environmental Sustainability

et al. 2020

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Industry 4.0 is a concept that originated from the German industry, and whose essence is the use of technology for efficient production. In business today, the emergence of Industry 4.0 for production, and its related technologies, such as the Internet of Things (IoT) and cyber-physical systems, amongst others, have, however, a negative impact on environmental sustainability as a result of air pollution, the poor discharge of waste, and the intensive use of raw materials, information, and energy. The method used in this study is an analysis of a literature review of manuscripts discussing topics related to Industry 4.0 and environmental sustainability published between 2000 and 2020. There is currently a gap existing between the actual and the desired situation, in that production occurs in a weak sustainability model, and, therefore, this research debates the effects on environmental sustainability and the challenges facing Industry 4.0. Four scenarios are discussed: a deployment scenario, an operation scenario, integration and compliance with sustainable development goals, and a long-run scenario. The results indicate that there is a negative relationship related to the flow of the production process from the inputs to the final product, including raw materials, energy requirements, information, and waste disposal, and their impacts on the environment. However, the integration of Industry 4.0 and the sustainable development goals enhance environmental sustainability to create ecological support that guarantees high environmental performance with a more positive impact than before. This paper will help stakeholders and companies to provide solutions to the existing environmental challenges that can be mediated through adopting new technologies. The novelty of this study is its depiction of Industry 4.0 and its technologies integrated with sustainable development goals to create a sustainable Industry 4.0 combining environmental protection and sustainability.

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Section: Environment Sustainabilitymentioning

confidence: 99%

Impact of Industry 4.0 on Environmental Sustainability

et al. 2020

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“…As expected, these publications report on applying more established modeling languages, such as AutomationML (cf. [41]), OWL (cf. [131,139,141]), or UML (cf.…”

Section: Resultsmentioning

confidence: 99%

Modeling languages in Industry 4.0: an extended systematic mapping study

et al. 2019

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Industry 4.0 integrates Cyber-Physical Systems with the Internet of Things to optimize the complete value-added chain. Successfully applying Industry 4.0 requires the cooperation of various stakeholders from different domains. Domain-specific modeling languages promise to facilitate their involvement through leveraging (domain-specific) models to primary development artifacts. Objective: We aim to assess the use of modeling in Industry 4.0 through the lens of modeling languages in a broad sense. Method: Based on an extensive literature review, we updated our systematic mapping study on modeling languages and modeling techniques used in Industry 4.0 [159] to include publications until February 2018. Overall, the updated study considers 3344 candidate publications that were systematically investigated until 408 relevant publications were identified. Based on these, we developed an updated map of the research landscape on modeling languages and techniques for Industry 4.0. Results: Research on modeling languages in Industry 4.0 focuses on contributing methods to solve the challenges of digital representation and integration. To this end, languages from systems engineering and knowledge representation are applied most often but rarely combined. There also is a gap between the communities researching and applying modeling languages for In

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“…The project vision is to enable full economic sustainability of the production systems based on intelligent modular plug and produce equipment. Within the tasks of the project, plug and produce automation systems are being developed using OPC UA [145,165].…”

Section: Randd Projectsmentioning

confidence: 99%

“…However, the modelling of domain-specific information into OPC UA meta-models is still lacking a • Integration of OPC UA with other protocols or software architectures in domains like SGs and CPPSs. The standards and languages that are being integrated are protocols for building automation systems (KNX, BACnet, LonWorks) [149], UML [150,160,166], IEC 61131 [148], IEC 61499 [158], DPWS [147,152], IEC 61850 [152,156,163,164], AutomationML [154,165], RobotML [155], CIM [159], DDS [161], REST [157], ISA 95 [15], and open-source middleware platform for IoT devices (OpenIoT) [141]. Once validated, the standardization of the developed integrating extensions/models should be achieved by submitting them to the OPC Foundation.…”

Section: Trends and Open Research Issuesmentioning

confidence: 99%

A Literature Survey on Open Platform Communications (OPC) Applied to Advanced Industrial Environments

et al. 2019

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Extensive digitization and interconnection through networks have ushered in a number of new paradigms over the last years: Internet of Things, cyber–physical systems, Industry 4.0, etc. These challenging systems rely on an effective information communication between distributed components. Therefore, the heterogeneity of entities, both hardware and software, must be handled to achieve an operative interoperability and a proper behavior. However, there is also a heterogeneous availability of solutions; different technologies, protocols, and architectures aim to achieve a seamless interconnection. Henceforth, the standardization still requires great efforts from industrial and scientific environments. In this sense, the interface of the open platform communications (OPC) has supported connectivity for automation and supervision infrastructures for more than two decades. The OPC comprises the so-called classic OPC, the original protocol, as well as the last specification, unified architecture (UA). The widespread utilization of the classic OPC together with the powerful functionalities of OPC UA, make the latter one of the main candidates to lead the standardization and systems integration. This paper presents a survey of recent OPC-based systems reported in scientific literature for different domains as well as research projects. The goal of this paper is to provide a broad perspective about the OPC’ applicability and capabilities in order to support the decision about communication interfaces. The results are analyzed and discussed putting special attention on the aforementioned new paradigms. Finally, the main conclusions and open research directions are highlighted.

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Device adapter concept towards enabling plug&produce production environments

Cited by 30 publications

References 10 publications

Impact of Industry 4.0 on Environmental Sustainability

Impact of Industry 4.0 on Environmental Sustainability

Modeling languages in Industry 4.0: an extended systematic mapping study

A Literature Survey on Open Platform Communications (OPC) Applied to Advanced Industrial Environments

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