Industrie 4.0: Implikationen für produzierende Unternehmen

Schuh, Günther; Jordan, Felix; Maasem, Christian; Zeller, Violett

doi:10.3139/9783446451148.004

Cited by 25 publications

(45 citation statements)

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“…Further, humans need to have a fundamental understanding of ICT systems, automation technology, and data analysis. Additionally, being aware of issues concerning data abuse and ICT security is critical (Erol et al, 2016;Schuh et al, 2017). Humans should have interdisciplinary knowledge and an understanding of interconnected systems (Erol et al, 2016;Kagermann et al, 2013).…”

Section: Implementation Of Industry 40mentioning

confidence: 99%

“…Humans should have interdisciplinary knowledge and an understanding of interconnected systems (Erol et al, 2016;Kagermann et al, 2013). The automation of processing steps increases planning and controlling tasks, which in turn asks for further decision-making competence of humans (Schuh et al, 2017). These skills and competencies can be developed and improved by applying trainings and education programs, for instance, scenario-based or e-learning (Darbanhosseiniamirkhiz and Ismail, 2012;Erol et al, 2016).…”

Section: Implementation Of Industry 40mentioning

confidence: 99%

“…On the other hand, they serve as platforms providing necessary information (Kagermann et al, 2013). Assistance systems are able to identify humans via identification and visualization technologies (Schuh et al, 2017). Personal data can be collected to facilitate interactions and to design employee-focused workplaces (Block et al, 2015).…”

Section: Implementation Of Industry 40mentioning

confidence: 99%

“…Also, fast and stable broadband internet infrastructure is a prerequisite, requiring respective investments. A smart factory should rely on a well-developed internal data infrastructure, e.g., based on the Industrial Ethernet (Schuh et al, 2017). Further, the existing technological developments, such as radio frequency identification (RFID), manufacturing execution systems (MES) and enterprise resource planning (ERP) systems need to be integrated within the Industry 4.0 concept.…”

Section: Implementation Of Industry 40mentioning

confidence: 99%

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Lessons learned from Industry 4.0 implementation in the German manufacturing industry

Veile

Kiel

Müller

et al. 2019

JMTM

285

230

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Purpose Industry 4.0 is assumed to yield extensive industry-spanning opportunities. However, exploiting these opportunities requires a targeted implementation of Industry 4.0. The purpose of this paper is to generate a deeper understanding of relevant implementation action. Existing recommendations are mostly general, highly aggregated and difficult to grasp. Yet, specific and concrete actions that need to be taken to accelerate the realization of Industry 4.0 are essential. Design/methodology/approach The article uses 13 semi-structured in-depth expert interviews as the source of empirical data. The interviews were conducted with managers from Industry 4.0-experienced German manufacturing companies. All interviews are analyzed using qualitative content analysis. Findings The study reveals relevant and targeted aspects for Industry 4.0 implementation: the development of Industry 4.0-specific know-how, securing financial resources, integrating employees into the implementation process and establishing an open-minded and flexible corporate culture. Further aspects include comprehensive planning processes, cooperation with external partners, proper handling of data interfaces, interdisciplinary communication, an adaptable organizational structure and data security. Research limitations/implications The paper is limited to German manufacturing enterprises and should be transferred to other industries and countries. Practical implications The study supports managers to effectively implement Industry 4.0 within their organizations and consequently benefit from Industry 4.0 and derives recommendations for future research. Originality/value The paper is among the first to give specific and concrete examples for lessons learned from Industry 4.0 implementation, directly obtained from industrial application.

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Section: Implementation Of Industry 40mentioning

confidence: 99%

Section: Implementation Of Industry 40mentioning

confidence: 99%

Section: Implementation Of Industry 40mentioning

confidence: 99%

Section: Implementation Of Industry 40mentioning

confidence: 99%

See 2 more Smart Citations

Lessons learned from Industry 4.0 implementation in the German manufacturing industry

Veile

Kiel

Müller

et al. 2019

JMTM

285

230

View full text Add to dashboard Cite

show abstract

“…When comparing the digitization of different sectors, recurring trends and development stages can be identified, which can be represented, for example, by the so-called "digital maturity level" (O'Leary, 2009;Fenn and Linden, 2017;Schuh et al, 2017). This maturity assessment covers all areas of the company: from the degree of digitization of business processes to the management of IT processes, IT resources (Brecher et al, 2017). and IT technologies, to the assessment of a digital strategy and market development.…”

Section: Introductionmentioning

confidence: 99%

Sensor information as a service – component of networked production

Schmitt

Voigtmann

2018

J. Sens. Sens. Syst.

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Abstract. Metrology has a key position in networked, adaptive production, with the task of a holistic and valid assessment of the state of various production scenarios. With the diminishing focus on a device-specific development towards an adaptive production network, which is less hierarchical in the sense of the "Internet of production", and with the focus on the properties of cyber-physical systems (CPSs), new opportunities for the strengthening of metrology arise. Characteristic of these CPSs are sensors for multi-modal data acquisition, actuators for interaction with the environment, distributed computing power and the ability to spontaneously or permanently network itself. They form the basis for the creation of a "digital shadow" and thus are essential components of a model for process control. Current trends and challenges for metrology in networked production, such as multi-sensor systems, model-based measurements, virtual measurement processes or the integration into adaptable production systems, broaden the boundaries of future requirements of metrology, in particular with regard to its flexibility, speed and compatibility. A prerequisite is a scalable, specifiable information fusion. A solution to this is the service-based provision of sensor information, measurement data and decisions, which can be flexibly adapted to task-specific requirements. For this concept of "sensor information as a service", development stages and prerequisites for its implementation as well as affected areas are discussed.

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Prospects of Digital Transformation Technologies (DTT) for Sustainable Logistics and Supply Chain Processes in Manufacturing

Junge

2019

Operations Management for Social Good

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Industrie 4.0: Implikationen für produzierende Unternehmen

Cited by 25 publications

References 0 publications

Lessons learned from Industry 4.0 implementation in the German manufacturing industry

Lessons learned from Industry 4.0 implementation in the German manufacturing industry

Sensor information as a service – component of networked production

Prospects of Digital Transformation Technologies (DTT) for Sustainable Logistics and Supply Chain Processes in Manufacturing

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