Enablers for Self-optimizing Production Systems in the Context of Industrie 4.0

Brettel, Malte; Fischer, Felix Gabriel; Bendig, David; Weber, Anja; Wolff, Bartholomäus

doi:10.1016/j.procir.2015.12.065

Cited by 33 publications

(32 citation statements)

References 12 publications

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“…Internet-based system and service platforms are also used to promote model-based development platforms, such as behaviour modelling of robotic systems (Stojmenovic, 2014) or Automata (Ringert, Rumpe, and Wortmann, 2015). Internet-based systems and service platforms can also enable the development of social manufacturing (Bauer, Hämmerle, Schlund, and Vocke, 2015;Wan, Cai, and Zhou, 2015), nterconnect with the Internet of People (Wahlster et al, 2013) and create CPS collaborative communities (Lee, Kao, and Yang, 2014); Business processes and services can be interconnected through IoT systems (Stock and Seliger, 2016;Hussain, 2017) into industrial value chains (Brettel et al, 2016;Hermann, Pentek, and Otto, 2016;Shafiq, Sanin, Szczerbicki, and Toro, 2015;Wang et al, 2016). Business processes and services can integrate machine information into decision making (Evans and Annunziata, 2012;Toro, Barandiaran, and Posada, 2015) and be connected to the Internet of Services (Wahlster et al, 2013;Shafiq, Sanin, Szczerbicki, and Toro, 2015) for service oriented architecture (La and Kim, 2010;Wang, Törngren, and Onori, 2015;Weyer et al, 2015) and Cloud distributed process University of Oxford 9 planning manufacturing (Wang, 2013;Wan, Cai, and Zhou, 2015).…”

Section: Cps In I40 -Key Management Technologiesmentioning

confidence: 99%

“…CPS security is essential for industrial competitiveness and for harnessing economic value of the digital industry (Rajkumar et al, 2010;Brettel et al, 2016;Leitão, Colombo and Karnouskos, 2016;Stock and Seliger, 2016;Wang et al, 2016). The future vision of CPS integration in the IoT includes instruments and processes to enable energy-aware buildings and cities (EABaC) (Balaji et al, 2015;Marwedel and Engel, 2016;Weyer et al, 2015); physical critical infrastructure with preventive maintenance (CIPM), and self-correcting cyber-physical systems (SCCPS) themselves (Rajkumar et al, 2010;Zhu, Rieger, and Basar, 2011;Brettel et al, 2016;Leitão, Colombo and Karnouskos, 2016). In addition, the electric power grid represents one of the largest complex interconnected networks (Hahn et al, 2013).…”

Section: Vision For Cps-ioe Integration In Industry 40mentioning

confidence: 99%

“…The article does not deal with the emerging literature on harnessing economic value from the I4.0 (Bauer, Hämmerle, Schlund and Vocke, 2015;Shafiq, Sanin, Szczerbicki, and Toro, 2015;Anderson, 2016;Brettel et al, 2016;Stock and Seliger, 2016;Wang et al, 2016;Hussain, 2017). Rather, the article points to the ways in which the reference architecture presented can inform the development of new economic models and future work on the actual assessment of emerging cyber risks in I4.0.…”

Section: Limitations In the Economic And Social Areasmentioning

confidence: 99%

“…2011) and that the associated social disruptions will be significant as the technologicallydriven labour market transitions are likely to take considerable time and domains such as in situations when AI University of Oxford 38 accelerates the pace of automation (Kaplan, 2017). The counter argument is that skilled and educated jobs will be created to control and maintain machines (Dombrowski and Wagner, 2014) as I4.0 optimises the manufacturing competitive edge in high-wage countries (Brettel et al, 2016), and enables a better work-life-balance in a high-wage economy (Wahlster et al, 2013). We believe that elements in this article would also contribute to the ongoing debates on this topic.…”

Section: Limitations In the Economic And Social Areasmentioning

confidence: 99%

See 3 more Smart Citations

A Reference Architecture for Integrating the Industrial Internet of Things in the Industry 4.0

Radanliev¹,

Roure²,

Nicolescu³

et al. 2019

Preprint

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There is an increased attention on propositions on models, infrastructures and frameworks of IoT in both business reports and technical papers. These reports and publications frequently represent a juxtaposition of other related systems and technologies (e.g. Industrial Internet of Things, Cyber Physical Systems, Industry 4.0 etc). At present, the literature is missing a design process for integrating these constantly evolving systems and technologies in a clear and understandable step by step model. This paper contributes with a new reference architecture model for the integration of these systems and technologies. The reference architecture model is based on grouping of future and present techniques and presenting the design process through a new hierarchical framework and a new cascading model. With the application of the grounded theory, the hierarchical framework and the cascading model detail a new process for creating a taxonomy of categories and grouping of concepts into integration design. The new design process is tested and versified with an empirical review of Industry 4.0 frameworks and results with a new 5 levels reference architecture step by step model for the integration of these related systems and technologies (Industrial Internet of Things, Cyber Physical Systems, and Industry 4.0). We review 118 academic and industry papers published between 2010 and 2019.Then, we report the results of a qualitative empirical study that correlates academic literature with 14 world leading Industry 4.0 frameworks and initiatives. We therefore propose an architectural model that offers a better understanding of the systems integration between the Industrial Internet of Things and Industry 4.0.

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Section: Cps In I40 -Key Management Technologiesmentioning

confidence: 99%

Section: Vision For Cps-ioe Integration In Industry 40mentioning

confidence: 99%

Section: Limitations In the Economic And Social Areasmentioning

confidence: 99%

Section: Limitations In the Economic And Social Areasmentioning

confidence: 99%

See 2 more Smart Citations

A Reference Architecture for Integrating the Industrial Internet of Things in the Industry 4.0

Radanliev¹,

Roure²,

Nicolescu³

et al. 2019

Preprint

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“…In Section 6 we evaluate the design principles by conducting theoretical If the Cloud architecture is properly engineered, the security of the cloud instance is adequately maintained and the connectivity from cloud to Thing can be assured, then cyber risks can be reduced with cloud technologies (Ribeiro, Barata and Ferreira, 2010) (Thramboulidis, 2015) (Giordano, Spezzano and Vinci, 2016) (Shafiq et al, 2015) (Wahlster et al, 2013). To ensure cyber risk is reduced, cloud technologies should be supported with: internet-based system, service platforms (La and Kim, 2010;Dillon et al, 2011;Wahlster et al, 2013;Wan, Cai and Zhou, 2015;Weyer et al, 2015), processes, services (Stock and Seliger, 2016;Hussain, 2017) (Brettel et al, 2016;Hermann, Pentek and Otto, 2016;Wang et al, 2016), for machine decision making (Evans and Annunziata, 2012; Wang, 2013) (Wahlster et al, 2013;Shafiq et al, 2015). Creating cyber service architecture (La and Kim, 2010;Wang, Törngren and Onori, 2015;Weyer et al, 2015) and cloud distributed manufacturing planning (Wang, 2013;Wan, Cai and Zhou, 2015) (Faller and Feldmüller, 2015;Posada et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Future developments in standardisation of cyber risk in the Internet of Things (IoT)

et al. 2020

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In this research article, we explore the use of a design process for adapting existing cyber risk assessment standards to allow the calculation of economic impact from IoT cyber risk. The paper presents a new model that includes a design process with new risk assessment vectors, specific for IoT cyber risk. To design new risk assessment vectors for IoT, the study applied a range of methodologies, including literature review, empirical study and comparative study, followed by theoretical analysis and grounded theory. An epistemological framework emerges from applying the constructivist grounded theory methodology to draw on knowledge from existing cyber risk frameworks, models and methodologies. This framework presents the current gaps in cyber risk standards and policies, and defines the design principles of future cyber risk impact assessment. The core contribution of the article therefore, being the presentation of a new model for impact assessment of IoT cyber risk. Keywords: Cyber risk; Internet of Things cyber risk; Internet of Things risk vectors;Standardisation of cyber risk assessment; Economic impact assessment. University of OxfordUniversity of Oxford 3 analysis to uncover the best method to define a unified cyber risk assessment. In section 7 we propose a new epistemological framework for cyber risk assessment standardisation and we discuss the new impact assessment principles. In Section 8 we present the conclusions and limitations of the research. METHODOLOGYThe methods applied in this study consist of literature review, comparative study, empirical analysis, theoretical and epistemological analysis and case study workshops. The selection of methodologies is based on their flexibility to be applied simultaneously to analyse the same research topic from different perspectives. We use practical studies of major projects in the I4.0 to showcase recent developments of IoT systems in the context of I4.0 high-tech strategies. We need practical studies to bridge the gaps, to assess the impact and overcome some of the cyber risk limitations and to construct the relationship between IoT and high-tech strategies. The proposed design principles support the process of building a holistic IoT cyber risk impact assessment model. Theoretical analysisThe methodology applies theoretical analysis through logical discourse of knowledge, also known as epistemological analysis. An epistemological analysis enables an investigation on how existing knowledge is justified and what makes justified beliefs justified (Steup, 2005), what does it mean to say that we understand something (Wenning, 2009) and how do we understand that we understand.The methodology reported here has two objectives. The first objective is to enable an up-todate overview of existing and emerging cyber risk vectors from IoT advancements, which includes cyber-physical systems, the industrial Internet of things, cloud computing and cognitive computing (MEICA, 2015;Weyer et al., 2015;Liao et al., 2017). If we were performing a vector specific analysis of r...

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A Case Study in Learning Factories for Real-Time Reconfiguration of Assembly Systems Through Computational Design and Cyber-Physical Systems

Monizza

Rojas

Rauch

et al. 2018

Product Lifecycle Management to Support Industry 4.0

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de adfa, p. 1, 2011.

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Enablers for Self-optimizing Production Systems in the Context of Industrie 4.0

Cited by 33 publications

References 12 publications

A Reference Architecture for Integrating the Industrial Internet of Things in the Industry 4.0<strong> </strong><strong> </strong>

A Reference Architecture for Integrating the Industrial Internet of Things in the Industry 4.0<strong> </strong><strong> </strong>

Future developments in standardisation of cyber risk in the Internet of Things (IoT)

A Case Study in Learning Factories for Real-Time Reconfiguration of Assembly Systems Through Computational Design and Cyber-Physical Systems

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