Competences for Cyber-physical Systems in Manufacturing – First Findings and Scenarios

Dworschak, Bernd; Zaiser, Helmut

doi:10.1016/j.procir.2014.10.048

Cited by 130 publications

(100 citation statements)

References 2 publications

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“…In his pivotal study, Lee [26] identifies technical requirements of CPSs and identifies them as being a cornerstone of the 20 th century IT revolution. Dworschak et al [32] identify technical as well as organizational co mpetencies and critical success factors that are crucial for imp lementing CPSs in manufacturing. In IS literature, the concept of CPSs is likewise on the rise.…”

Section: Background and Related Literaturementioning

confidence: 99%

The Impact of Cyber-physical Systems on Industrial Services in Manufacturing

2015

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Besides selling tangible products, manufacturing companies have also started to compete by offering product-related services throughout the product lifecycle. In this context, the recent rise of cyber-physical systems (CPSs) and smart, connected equipment paves the way for additional opportunities for the service business among the lifecycle and pivots of traditional maintenance, repair and overhaul (M RO) service business. Based on 11 case studies, we investigate service innovations driven by digitalization and CPSs and their impact on the service ecosystem. We identify affordances that effectively exploit the new technological capabilities in existing and future service scenarios.

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Section: Background and Related Literaturementioning

confidence: 99%

The Impact of Cyber-physical Systems on Industrial Services in Manufacturing

2015

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“…Moreover, there is increasing awareness that in manufacturing, human capabilities are fundamental [4] and cannot be easily substituted [5]. However, due to the fairly low degree of implementation of CPS in companies [6], there is poor knowledge about the integration of human activities and these emerging technologies [6].…”

Section: Introductionmentioning

confidence: 99%

Exploring the integration of the human as a flexibility factor in CPS enabled manufacturing environments: Methodology and results

Fantini

Tavola

Taisch

et al. 2016

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

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Abstract-Cyber Physical Systems (CPS) are expected to shape the evolution of production towards the fourth industrial revolution named Industry 4.0. The increasing integration of manufacturing processes and the strengthening of the autonomous capabilities of manufacturing systems make investigating the role of humans a primary research objective in view of emerging social and demographic megatrends. Understanding how the employees can be better integrated to enable increased flexibility in manufacturing systems is a prerequisite to allow technological solutions, as well as humans, to harness their full potential. Humans can supervise and adjust the settings, be a source of knowledge and competences, can diagnose situations, take decisions and several other activities influencing manufacturing performances, overall providing additional degrees of freedom to the systems. This paper, studies two different integration models: Human-in-the-Loop and Human-in-the-Mesh. They are both analysed in the context of four industrial cases of deployment of cyber physical systems in production.

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“…In manufacturing, CPS can improve quality and productivity through smart presymptom and diagnosis using big data from different machines, network sensors, and systems. In addition to this, various related studies have been carried out, but the focus was primarily on the role of the CPS in methods for applications connected with technologies, such as manufacturing, application scenarios, conceptual or architectural design, and big data, analysis, IoT, and humanmachine interface (HMI) [20,21]. Additionally, the degree of CPS implementation in the enterprises is still low.…”

Section: Configuration Levelmentioning

confidence: 99%

SVM‐Based Dynamic Reconfiguration CPS for Manufacturing System in Industry 4.0

Shin

Cho

2018

Wireless Communications and Mobile Computing

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CPS is potential application in various fields, such as medical, healthcare, energy, transportation, and defense, as well as Industry 4.0 in Germany. Although studies on the equipment aging and prediction of problem have been done by combining CPS with Industry 4.0, such studies were based on small numbers and majority of the papers focused primarily on CPS methodology. Therefore, it is necessary to study active self-protection to enable self-management functions, such as self-healing by applying CPS in shop-floor. In this paper, we have proposed modeling of shop-floor and a dynamic reconfigurable CPS scheme that can predict the occurrence of anomalies and self-protection in the model. For this purpose, SVM was used as a machine learning technology and it was possible to restrain overloading in manufacturing process. In addition, we design CPS framework based on machine learning for Industry 4.0, simulate it, and perform. Simulation results show the simulation model autonomously detects the abnormal situation and it is dynamically reconfigured through self-healing.

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Competences for Cyber-physical Systems in Manufacturing – First Findings and Scenarios

Cited by 130 publications

References 2 publications

The Impact of Cyber-physical Systems on Industrial Services in Manufacturing

The Impact of Cyber-physical Systems on Industrial Services in Manufacturing

Exploring the integration of the human as a flexibility factor in CPS enabled manufacturing environments: Methodology and results

SVM‐Based Dynamic Reconfiguration CPS for Manufacturing System in Industry 4.0

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