The Smart Real-Time Factory as a Product Service System

Hameed, B.H.; Mínguez, Jorge; Wörner, Michael; Hollstein, Philip; Zor, Sema; Silcher, Stefan; Dürr, Frank; Rothermel, Kurt

doi:10.1007/978-3-642-19689-8_57

Cited by 10 publications

(2 citation statements)

References 12 publications

(12 reference statements)

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“…The problem seen in the operation section is that, whether the products have been completely built by the production folks or not, they are unknown (Minguez, 2011). The whole process stays invisible to others as there is no real-time information, unless we go down to the production floor itself and check the status ourselves.…”

Section: Manufacturing Processes and Problemsmentioning

confidence: 99%

The Study on the Application of Business Intelligence in Manufacturing

Yusof

2013

International Journal of Business Intelligence Research

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A manufacturing based organization operates in an environment where a fast and effective decision is needed. This is to ensure that the output is met with customer compliance. There exists manufacturing systems that collect the operational data and the data turns out to be in a high volume due to the state of the art of the abundant manufacturing operational data. Having a lot of data without the tool to analyze and extracting valuable information from it, increases the amount of time spent by employees focusing on the data itself. This eventually leads to a delay in a decision making process, resulting in a delay of products delivery to customer. To fill in this gap, a Business Intelligence (BI) implementation will be reviewed, with the aim to execute the right action at the right time or in other words, to improve the decision making process of an organization.

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Section: Manufacturing Processes and Problemsmentioning

confidence: 99%

The Study on the Application of Business Intelligence in Manufacturing

Yusof

2013

International Journal of Business Intelligence Research

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“…the technical dimension, which includes cyber-physical system modeling [29], real-time sensing and tracking capabilities [30] and human/machine access and trust management [31];…”

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confidence: 99%

A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future

et al. 2020

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In the context of Industry 4.0, a growing use is being made of simulation-based decision-support tools commonly named Digital Twins. Digital Twins are replicas of the physical manufacturing assets, providing means for the monitoring and control of individual assets. Although extensive research on Digital Twins and their applications has been carried out, the majority of existing approaches are asset specific. Little consideration is made of human factors and interdependencies between different production assets are commonly ignored. In this paper, we address those limitations and propose innovations for cognitive modeling and co-simulation which may unleash novel uses of Digital Twins in Factories of the Future. We introduce a holistic Digital Twin approach, in which the factory is not represented by a set of separated Digital Twins but by a comprehensive modeling and simulation capacity embracing the full manufacturing process including external network dependencies. Furthermore, we introduce novel approaches for integrating models of human behavior and capacities for security testing with Digital Twins and show how the holistic Digital Twin can enable new services for the optimization and resilience of Factories of the Future. To illustrate this approach, we introduce a specific use-case implemented in field of Aerospace System Manufacturing.

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Through-Lifecycle Aspects for Functional Products to Consider During Development and Operation: A Literature Review

Lindström

2014

Through-Life Engineering Services

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The Smart Real-Time Factory as a Product Service System

Cited by 10 publications

References 12 publications

The Study on the Application of Business Intelligence in Manufacturing

The Study on the Application of Business Intelligence in Manufacturing

A New Concept of Digital Twin Supporting Optimization and Resilience of Factories of the Future

Through-Lifecycle Aspects for Functional Products to Consider During Development and Operation: A Literature Review

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