Digital description of products, processes and resources for task-oriented programming of assembly systems

Backhaus, Julian; Reinhart, Gunther

doi:10.1007/s10845-015-1063-3

Cited by 56 publications

(35 citation statements)

References 30 publications

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“…In addition to decentralized decisions on the ability of cyber-physical systems to make decisions on their own and perform their functions as independently as possible and also it envisages environmentally sustainable construction through green production processes, green supply chain management and green products (Hazen, Boone, Ezell, & Jones-Farmer, 2014;Huckle et al, 2016;Jeng, Tzeng, Tseng, Xu, & Liu, 2016;Lee, Bagheri, & Kao, 2014). Industry 4.0 is allowing transparency of large amounts of data and information from all parts of the manufacturing process, human support systems, and visualizing information to make informed decisions, to solve urgent problems or to avoid any unpleasant (Accorsi et al, 2017;Backhaus & Reinhart, 2017;Bui, Yoon, Huh, Jun, & Lee, 2017;Dener & Bostancıoğlu, 2015). The fourth industrial revolution might be more powerful, impactful, robust, and historically important than the previous three, is affecting our economic, environmental, social, and political systems tremendously.…”

Section: Background Of the Studymentioning

confidence: 99%

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Industry 4.0: Challenges, Opportunities, and Strategic Solutions for Bangladesh

Bhuiyan

Ali

Zulkifli

et al. 2020

ijbmf

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In the recent decade, the term Industry 4.0 or Fourth Industrial Revolution is a common buzzword represents the adoption of disruptive digital technologies (Internet of things, Big Data, 3D printing, Cloud computing, Autonomous robots, Virtual reality, Augmented reality, Self-driving car, Cyber-physical system, Artificial intelligence, Smart sensors, Nanotechnology, Drones, and Biotechnology, etc.) in the production process which is transforming the manufacturing units into smart factories and experiencing a great change in the global value chain. Moreover, these revolutionary digital technologies have a profound impact on the economy, growth, globalization, governments, international trade, global supply chain, and human capital transformation, etc. The present review study aims to explore the impact, challenges, and opportunities of the fourth industrial revolution based on empirical findings specially and extensively in the context of Bangladesh. The study finds regardless of having enormous potentiality, the application of the fourth industrial revolution is far lagging for some challenges i.e. lack awareness, insufficient capital, lack of infrastructure, lack of skilled human capital, and some socio-economic challenges. This review paper will also develop conceptual links with the relevant aspect of strategic planning and application of key industry 4.0 technologies and help to formulate future policy guidelines regarding opportunities, application, and strategic decision making for the fourth industrial revolution in Bangladesh.

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Section: Background Of the Studymentioning

confidence: 99%

“…The most difficult aspect of applying industry 4.0 technologies is security and risk issues (Backhaus & Reinhart, 2017;Davali, Belli, Cilfone, & Ferrari, 2016;Hazen et al, 2016). This online integration will provide room for security breaches and data leaks (Du et al, 2017;Hofmann & Rüsch, 2017;Kusiak, 2017).…”

Section: Infrastructural Developmentmentioning

confidence: 99%

Industry 4.0: Challenges, Opportunities, and Strategic Solutions for Bangladesh

Bhuiyan

Ali

Zulkifli

et al. 2020

ijbmf

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“…Un enfoque que se ha utilizado en menor medida el OOR, que consiste en abstraer las características comunes de las labores que realiza el robot y descartar los elementos no comunes (sensores, actuadores y sistemas operativos), de modo que el desarrollador pueda centrarse en la tarea que debe realizar el dispositivo, y no preocuparse por la variabilidad del hardware. Generalmente, este enfoque se realiza a través de comunicación multimodal y se utiliza cuando se requiere un trabajo colaborativo entre sistemas robóticos (Trapani and Indri, 2017), (Backhaus and Reinhart, 2017).…”

Section: Otros Enfoques De Reutilización Utilizadosunclassified

Reutilización de software en la robótica industrial: un mapeo sistemático

Solís

Hurtado

2020

Rev. iberoam. autom. inform. ind.

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<p>Existe una tendencia a utilizar los enfoques de reutilización de software en el dominio de los sistemas robóticos industriales, con el fin de acelerar su desarrollo. Aunque algunos estudios muestran los beneficios de desarrollar usando diferentes enfoques de reutilización, estas prácticas no se han incorporado masivamente en la industria, principalmente, debido al desarrollo de software propietario por parte de los fabricantes y a la diversidad del hardware subyacente. Sin embargo, estos estudios han sido de gran valor para avanzar en su adopción. A través de un mapeo sistemático de la literatura, se muestra la adopción de los diferentes enfoques de reutilización, dentro de los cuales se analizan los más utilizados como la ingeniería dirigida por modelos MDE (Model-Driven Engineering), el desarrollo basado en componentes CBSE (Component-based Software Engineering) y la arquitectura basada en servicios (SOA). Por otro lado, se analizan los marcos de trabajo por ser las soluciones más utilizados y en términos de herramientas, se enfatiza en ROS (Robot Operating System) como una plataforma de referencia para el desarrollo rápido de aplicaciones. El principal reto identificado en esta área de estudio es definir estrategias combinadas y prácticas de los enfoques de reutilización MDE, CBSE y SOA, con el fin de aprovechar las diferentes ventajas de reutilización que cada uno ofrece.</p>

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“…However, this demands integration techniques on the language level that support a progressive integration of models starting in the engineering process and extending into the deployment process even going to the operation processes. Activities in this direction include, e.g., integrating geometric tolerance information into STEP (ISO 10303) [134] or integrated representations of products, processes, and resources [11] to model system changes over its lifecycle.…”

Section: Model-based Devops: What Is Needed From Modeling Language Rementioning

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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Digital description of products, processes and resources for task-oriented programming of assembly systems

Cited by 56 publications

References 30 publications

Industry 4.0: Challenges, Opportunities, and Strategic Solutions for Bangladesh

Industry 4.0: Challenges, Opportunities, and Strategic Solutions for Bangladesh

Reutilización de software en la robótica industrial: un mapeo sistemático

Modeling languages in Industry 4.0: an extended systematic mapping study

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