Advanced CPS Service Oriented Architecture for Smart Injection Molding and Molds 4.0

Siller, Héctor R.; Romero, David; Rabelo, Ricardo J.; Vázquez, Elisa

doi:10.1109/is.2018.8710575

Cited by 8 publications

(5 citation statements)

References 24 publications

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“…The softbot part is one of the macro functionalities of the manager. In [30] the authors detail this architecture.In the implemented scenario, each CPS is associated with one single station and it was derived to have one respective softbot. Two operators can interact with more than one softbot in a 'one worker, multiple machines' philosophy (OWMM).…”

Section: Implementation Scenarios and Resultsmentioning

confidence: 99%

“…[9], [25]). Although it was implemented in a local environment, the used service-oriented, open and distributed architecture [30] could support the communication with CPSs from other companies as well as services from external providers (so creating virtual organizations and inter-organizational scenario) since some implementation and governance guidelines are set up.…”

Section: Conclusion and Further Workmentioning

confidence: 99%

See 1 more Smart Citation

Collaborative Softbots: Enhancing Operational Excellence in Systems of Cyber-Physical Systems

Rabelo¹,

Zambiasi²,

Romero³

2019

IFIP Advances in Information and Communication Technology

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This paper outlines the use of Collaborative Networks foundations at the intra-organizational level, applying them in the support of systems of Cyber-Physical Systems (CPSs), and of collaborative softbots in more particular. Five use case scenarios have been implemented upon a didactic shopfloor as a proof of concept. In spite of the complexity related to the knowledge modeling of softbots, the achieved results demonstrated the potentials of better human-automation symbiosis when groups of CPSs, information systems and humans have to cooperate and collaborate using collaborative softbots to improve operational excellence and human satisfaction in smart, social factories.

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Section: Implementation Scenarios and Resultsmentioning

confidence: 99%

Section: Conclusion and Further Workmentioning

confidence: 99%

Collaborative Softbots: Enhancing Operational Excellence in Systems of Cyber-Physical Systems

Rabelo¹,

Zambiasi²,

Romero³

2019

IFIP Advances in Information and Communication Technology

Self Cite

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“…The transformation of industrial equipment into a CPS and its subsequent virtualization in the form of a DT is not a trivial process [10]. It involves the integration of different systems, the interoperation of different protocols and communication formats, the analysis of suitable protocols to support the transmission of large volumes of data in real time, the construction of wrappers on top of legacy PLCs, the synthesis instrumentation, and IoT and data from industrial networks, among other aspects [32,33]. There are other entities in the environment with which a DT must interact and for which appropriate forms of communication must be designed [10]:…”

Section: Background Of Digital Twins: Concept and Integration Levelsmentioning

confidence: 99%

Conceiving a Digital Twin for a Flexible Manufacturing System

Magalhães

Ramos

et al. 2022

Applied Sciences

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Digitization and virtualization represent key factors in the era of Industry 4.0. Digital twins (DT) can certainly contribute to increasing the efficiency of various productive sectors as they can contribute to monitoring, managing, and improvement of a product or process throughout its life cycle. Although several works deal with DTs, there are gaps regarding the use of this technology when a Flexible Manufacturing System (FMS) is used. Existing work, for the most part, is concerned with simulating the progress of manufacturing without providing key production data in real-time. Still, most of the solutions presented in the literature are relatively expensive and may be difficult to implement in most companies, due to their complexity. In this work, the digital twin of an FMS is conceived. The specific module of an ERP (Enterprise Resources Planning) system is used to digitize the physical entity. Production data is entered according to tryouts performed in the FMS. Sensors installed in the main components of the FMS, CNC (computer numerical control) lathe, robotic arm, and pallet conveyor send information in real-time to the digital entity. The results show that simulations using the digital twin present very satisfactory results compared to the physical entity. In time, information such as production rate, queue management, feedstock, equipment, and pallet status can be easily accessed by operators and managers at any time during the production process, confirming the MES (manufacture execution system) efficiency. The low-cost hardware and software used in this work showed its feasibility. The DT created represents the initial step towards designing a metaverse solution for the manufacturing unit in question, which should operate in the near future as a smart and autonomous factory model.

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“…Dado que esto es foco de interés, se han planteado a lo largo del tiempo diferentes soluciones para controlar estas variables. Resumiendo los resultados de estas implementaciones podemos ver que en (Zhang, S., Dubay, R., & Charest, M., 2014), (Tan, Y. S., Ng, Y. T., & Low, J. S. C., 2017), (Vrabič, R., Kozjek, D., & Butala, P., 2017), (Hu, F., He, Z., Zhao, X., & Zhang, S., 2017), (Siller, H. R., Romero, D., Rabelo, R. J., & Vazquez, E., 2018), (Ogorodnyk, O., & Martinsen, K., 2018), (Lucchetta, G., Masato, D., & Sorgato, M., 2018), (Ageyeva, T., Horváth, S., & Kovács, J. G., 2019), (Park, H. S., Phuong, D. X., & Kumar, S., 2019, (Lee, H., Liau, Y., & Ryu, K., 2018) y (Charest, M., Finn, R., & Dubay, R., 2018) se utiliza tecnología de sensores de temperatura y presiones en las cavidades de los moldes; cada una de las implementaciones ha tomado diferentes medidas en acondicionar las herramientas y las máquinas para poder recopilar los datos, mientras que en los casos donde se ha realizado integración de tecnología, se ha buscado que esta sea la adecuada para obtener los resultados deseados, sobre todo en (Ageyeva, T., Horváth, S., & Kovács, J. G., 2019) donde se proponen diferentes maneras de obtener los datos del comportamiento de plástico por medio de tecnologías diversas.…”

Section: Datos Medidas Y Casos De Aplicaciónunclassified

Aplicación del internet industrial de las cosas(ioT)en líneas de manufactura por proceso de moldeo por inyección de plástico.

Lugo

Ibarra-Esquer

Bernal

2021

recibe

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Las revoluciones industriales han impulsado el desarrollo tecnológico, social y económico. Una de las industrias que se ha beneficiado por los avances tecnológicos es la de moldeo por inyección de plástico, que recientemente ha incorporado tecnologías de la industria 4.0. A partir de esto, el presente documento tiene como objetivo posicionarnos en el contexto de la industria de moldeo por inyección de plástico y el progreso de la industria 4.0 aplicada a sus procesos. Esta industria conlleva un proceso complejo controlado, que requiere el uso de herramientas estadísticas que muestren el comportamiento y resultados del proceso. Los datos se suelen recopilar de forma manual, con fallas u omisiones que generan problemas en diversas áreas. Se plantea entonces utilizar tecnologías de industria 4.0 para aumentar la eficiencia, descifrar tendencias y optimizar recursos y procesos, partiendo de la noción que el uso de estas tecnologías facilita la toma de decisiones acertadas en base a datos extraídos de producción, mejorando el análisis de las causas raíz de la problemática. Por medio de una revisión sistemática de literatura se encuentran casos exitosos de implementación, conceptos en el campo del Internet Industrial de las Cosas y la relación entre la industria de moldeo por inyección y la industria 4.0, con resultados utilizables como referencia para el planteamiento de nuevos proyectos y soluciones por parte de la comunidad interesada en la industria de moldeo por inyección de plástico.

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Advanced CPS Service Oriented Architecture for Smart Injection Molding and Molds 4.0

Cited by 8 publications

References 24 publications

Collaborative Softbots: Enhancing Operational Excellence in Systems of Cyber-Physical Systems

Collaborative Softbots: Enhancing Operational Excellence in Systems of Cyber-Physical Systems

Conceiving a Digital Twin for a Flexible Manufacturing System

Aplicación del internet industrial de las cosas(ioT)en líneas de manufactura por proceso de moldeo por inyección de plástico.

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