Reference Models for Digital Manufacturing Platforms

Fraile, Francisco José López; Sanchís, Raquel; Poler, Raúl; Ortíz, Ángel

doi:10.3390/app9204433

Cited by 60 publications

(49 citation statements)

References 19 publications

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“…Regarding the lack of practice, Moodle offers some modules, such as “VPL—Virtual Programming Lab” [ 40 ] is an activity module providing programming assignment management. It will be implemented, in this course, as a way to track the progress of the students in their learning journey most significantly and as a way to provide each one the relevant task supporting her/his progression.…”

Section: Resultsmentioning

confidence: 99%

Training the Next Industrial Engineers and Managers about Industry 4.0: A Case Study about Challenges and Opportunities in the COVID-19 Era

Benis

Nelke

Winokur

2021

Sensors

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Training the next generation of industrial engineers and managers is a constant challenge for academia, given the fast changes of industrial technology. The current and predicted development trends in applied technologies affecting industry worldwide as formulated in the Industry 4.0 initiative have clearly emphasized the needs for constantly adapting curricula. The sensible socioeconomic changes generated by the COVID-19 pandemic have induced significant challenges to society in general and industry. Higher education, specifically when dealing with Industry 4.0, must take these new challenges rapidly into account. Modernization of the industrial engineering curriculum combined with its migration to a blended teaching landscape must be updated in real-time with real-world cases. The COVID-19 crisis provides, paradoxically, an opportunity for dealing with the challenges of training industrial engineers to confront a virtual dematerialized work model which has accelerated during and will remain for the foreseeable future after the pandemic. The paper describes the methodology used for adapting, enhancing, and evaluating the learning and teaching experience under the urgent and unexpected challenges to move from face-to-face university courses distant and online teaching. The methodology we describe is built on a process that started before the onset of the pandemic, hence in the paper we start by describing the pre-COVID-19 status in comparison to published initiatives followed by the real time modifications we introduced in the faculty to adapt to the post-COVID-19 teaching/learning era. The focus presented is on Industry 4.0. subjects at the leading edge of the technology changes affecting the industrial engineering and technology management field. The manuscript addresses the flow from system design subjects to implementation areas of the curriculum, including practical examples and the rapid decisions and changes made to encompass the effects of the COVID-19 pandemic on content and teaching methods including feedback received from participants.

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Section: Resultsmentioning

confidence: 99%

Training the Next Industrial Engineers and Managers about Industry 4.0: A Case Study about Challenges and Opportunities in the COVID-19 Era

Benis

Nelke

Winokur

2021

Sensors

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“…Despite efforts in Industry 4.0, smart manufacturing and related paradigms standardization [11], [12] the integration challenges have not been solved. The challenges are not only related to data interoperability produced by the heterogeneous devices and systems [13] but also to interoperability of system architectures [5] and dynamic compositions in their interplay [2] as well as whole ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Edge and Cloud Service Integration for Industrial IoT and Production Monitoring Applications of Industrial Cyber-Physical Systems

Hästbacka

Halme

Barna

et al. 2022

IEEE Trans. Ind. Inf.

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Industrial cyber-physical systems rely increasingly on data from IoT devices and other systems as continuously emerging use cases implement new intelligent features. Edge computing can be seen as an extension of the cloud in close physical proximity, in which some of the typical cloud computing loads are beneficial to run. This paper studies data analytics application development for integration of industrial IoT data and composition of application services executed on edge and cloud. A solution is designed to support heterogeneous hardware and run-time platforms, and focuses on the service layer that enables flexible orchestration of data flows and dynamic service compositions. The unified model and system architecture implemented, using the open Arrowhead Framework model, is verified through two representative industrial use cases.

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“…Implementing the principles of I4.0 into industrial applications is a slow process, mainly due to the generally nonsystematic approach. At present, relevant technologies involve and rely on digitization, robotics, non-optimal data acquisition, virtual reality, IoT, and advanced data processing [ 21 , 22 , 23 , 24 , 25 , 26 , 27 ]; simultaneously, however, application standards remain undeveloped or are lacking completely, and a similar deficiency also affects corporate economy and common initiative in any given field [ 28 , 29 , 30 , 31 , 32 ]. Conversely, these separate technologies help to accelerate the implementation of I4.0 principles and open new opportunities and challenges for technical development; in the given context, such benefits were considered unfeasible 5–7 years ago.…”

Section: Introductionmentioning

confidence: 99%

Automated Design and Integration of Asset Administration Shells in Components of Industry 4.0

Arm

Benešl

Marcoň

et al. 2021

Sensors

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One of the central concepts in the principles of Industry 4.0 relates to the methodology for designing and implementing the digital shell of the manufacturing process components. This concept, the Asset Administration Shell (AAS), embodies a systematically formed, standardized data envelope of a concrete component within Industry 4.0. The paper discusses the AAS in terms of its structure, its components, the sub-models that form a substantial part of the shell’s content, and its communication protocols (Open Platform Communication—Unified Architecture (OPC UA) and MQTT) or SW interfaces enabling vertical and horizontal communication to involve other components and levels of management systems. Using a case study of a virtual assembly line that integrates AASs into the technological process, the authors present a comprehensive analysis centered on forming AASs for individual components. In the given context, the manual AAS creation mode exploiting framework-based automated generation, which forms the AAS via a configuration wizard, is assessed. Another outcome consists of the activation of a virtual assembly line connected to real AASs, a step that allows us verify the properties of the distributed manufacturing management. Moreover, a discrete event system was modeled for the case study, enabling the effective application of the Industry 4.0 solution.

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Reference Models for Digital Manufacturing Platforms

Cited by 60 publications

References 19 publications

Training the Next Industrial Engineers and Managers about Industry 4.0: A Case Study about Challenges and Opportunities in the COVID-19 Era

Training the Next Industrial Engineers and Managers about Industry 4.0: A Case Study about Challenges and Opportunities in the COVID-19 Era

Dynamic Edge and Cloud Service Integration for Industrial IoT and Production Monitoring Applications of Industrial Cyber-Physical Systems

Automated Design and Integration of Asset Administration Shells in Components of Industry 4.0

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