Determining the optimal level of autonomy in cyber-physical production systems

Gronau, Norbert; Grum, Marcus; Bender, Benedict

doi:10.1109/indin.2016.7819367

Cited by 35 publications

(9 citation statements)

References 13 publications

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“…Indeed, incorporating powerful Industry 4.0 technologies into traditional production systems demands a more thorough consideration of the necessity of adaptations and shifts in capabilities for true integration. For example, in a traditional production system, IoT technologies may ease customization, providing more flexibility as real-time changes in demand or requests can be adjusted easily during the production process based on further feedback loops between cyberphysical systems [75]. However, this also means dealing with a great variety of system conditions and statuses/states and, thus, dealing with greater complexity considering that all the processes need to be coordinated and controlled efficiently and effectively.…”

Section: F Blue Clustermentioning

confidence: 99%

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

Manesh

Pellegrini

Marzi

et al. 2021

IEEE Trans. Eng. Manage.

228

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Due to increased competitive pressure, modern organizations tend to rely on knowledge and its exploitation to sustain a long-term advantage. This calls for a precise understanding of knowledge management (KM) processes and, specifically, how knowledge is created, shared/transferred, acquired, stored/retrieved, and applied throughout an organizational system. However, since the beginning of the new millennium, such KM processes have been deeply affected and molded by the advent of the fourth industrial revolution, also called Industry 4.0, which involves the interconnectedness of machines and their ability to learn and share data autonomously. For this reason, the present study investigates the intellectual structure and trends of KM in Industry 4.0. Bibliometric analysis and a systematic literature review are conducted on a total of 90 relevant articles. The results reveal 6 clusters of keywords, subsequently explored via a systematic literature review to identify potential stream of this emergent field and future research avenues capable of producing meaningful advances in managerial knowledge of Industry 4.0 and its consequences.

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Section: F Blue Clustermentioning

confidence: 99%

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

Manesh

Pellegrini

Marzi

et al. 2021

IEEE Trans. Eng. Manage.

228

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“…According to Gronau et al (2016), the computing resources located here subsume different machines and components as variations of cyber-physical systems (CPSs) that are part of the value creation process of a company. Hence, their concrete hardware configurations vary significantly.…”

Section: Computing Infrastructuresmentioning

confidence: 99%

A decision maxim for efficient task realization within analytical network infrastructures

Grum

Bender

Alfa

et al. 2018

Decision Support Systems

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Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, time-dependent workloads in its components, and intelligent, flexible task distribution between local systems and cloud services is attractive. With the aim of developing a flexible and efficient design for analytical infrastructures, this paper proposes a flexible architecture model, which allocates tasks following a machine-specific decision heuristic. A simulation benchmarks this system with existing strategies and identifies the new decision maxim as superior in a first scenario-based simulation.

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“…Since the physical meaning of classical production components can be enhanced by a virtual representation, these can be considered as cyber-physical systems (short: CPS), providing more or less distinctive characteristics in abilities to perceive its environment via sensors, to interact with its environment via actuators, process data via processors and communicate via communicators (Gronau et al, 2016a). Equipped with memory, each CPS can build individual knowledge bases and can hold time-dependent states.…”

Section: Application Center For Industry 40mentioning

confidence: 99%

“…Once, new technologies are integrated in existing processes, new potentials can be established. As one takes the integration of Internet of Things technologies in traditional production systems, there can be realized customized productions and flexible, fast changing production processes based on further feedback loops between cyber-physical systems (Gronau et al, 2016a). With this, new coordination efforts among them require much more complex processes, with time-dependent system states and numerous data transfers.…”

Section: Introductionmentioning

confidence: 99%

Integration of Augmented Reality Technologies in Process Modeling - The Augmentation of Real World Scenarios With the KMDL

Gronau

Grum

2017

Proceedings of the Seventh International Symposium on Business Modeling and Software Design

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The integration of powerful technologies in traditional domains realizes promising potentials but mostly rises complexity and shrinks comprehensibility of underlying processes. With the aim to rise comprehensibility of non-transparent processes, a process modeling language has been transfered in 3-D and prepared to augment the real world. Definitions for a methodological proceeding have been created and were mapped to a software tool. Three scenarios then have been realized as demonstration and proof the working of drawn AR integrations. Focusing non-transparent processes, scenarios visualize tacit knowledge transfers (1), complex coordination mechanisms (2) and process simulations (3) in the domain of cyber-physical production systems.

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Determining the optimal level of autonomy in cyber-physical production systems

Cited by 35 publications

References 13 publications

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

A decision maxim for efficient task realization within analytical network infrastructures

Integration of Augmented Reality Technologies in Process Modeling - The Augmentation of Real World Scenarios With the KMDL

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