scholarly journals Data in Context: How Digital Transformation Can Support Human Reasoning in Cyber-Physical Production Systems

2021 ◽  
Vol 13 (6) ◽  
pp. 156
Author(s):  
Romy Müller ◽  
Franziska Kessler ◽  
David W. Humphrey ◽  
Julian Rahm
Keyword(s):  
Information Integration ◽  
Causal Reasoning ◽  
Production Systems ◽  
Digital Transformation ◽  
Human Information Processing ◽  
Functional Requirements ◽  
Contextual Reasoning ◽  
Information Sampling ◽  
Cyber Physical Production Systems ◽  
Selection Of

In traditional production plants, current technologies do not provide sufficient context to support information integration and interpretation. Digital transformation technologies have the potential to support contextualization, but it is unclear how this can be achieved. The present article presents a selection of the psychological literature in four areas relevant to contextualization: information sampling, information integration, categorization, and causal reasoning. Characteristic biases and limitations of human information processing are discussed. Based on this literature, we derive functional requirements for digital transformation technologies, focusing on the cognitive activities they should support. We then present a selection of technologies that have the potential to foster contextualization. These technologies enable the modelling of system relations, the integration of data from different sources, and the connection of the present situation with historical data. We illustrate how these technologies can support contextual reasoning, and highlight challenges that should be addressed when designing human–machine cooperation in cyber-physical production systems.

scholarly journals Smart manufacturing: Characteristics, technologies and enabling factors

2017 ◽  
Vol 233 (5) ◽  
pp. 1342-1361 ◽  
Author(s):  
Sameer Mittal ◽  
Muztoba Ahmad Khan ◽  
David Romero ◽  
Thorsten Wuest
Keyword(s):  
Industry 4.0 ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
Enabling Factors ◽  
Physical Systems ◽  
Industrial Community ◽  
Body Of Knowledge ◽  
Cyber Physical Production Systems ◽  
Selection Of

The purpose of this article is to collect and structure the various characteristics, technologies and enabling factors available in the current body of knowledge that are associated with smart manufacturing. Eventually, it is expected that this selection of characteristics, technologies and enabling factors will help compare and distinguish other initiatives such as Industry 4.0, cyber-physical production systems, smart factory, intelligent manufacturing and advanced manufacturing, which are frequently used synonymously with smart manufacturing. The result of this article is a comprehensive list of such characteristics, technologies and enabling factors that are regularly associated with smart manufacturing. This article also considers principles of “semantic similarity” to establish the basis for a future smart manufacturing ontology, since it was found that many of the listed items show varying overlaps; therefore, certain characteristics and technologies are merged and/or clustered. This results in a set of five defining characteristics, 11 technologies and three enabling factors that are considered relevant for the smart manufacturing scope. This article then evaluates the derived structure by matching the characteristics and technology clusters of smart manufacturing with the design principles of Industry 4.0 and cyber-physical systems. The authors aim to provide a solid basis to start a broad and interdisciplinary discussion within the research and industrial community about the defining characteristics, technologies and enabling factors of smart manufacturing.

scholarly journals Development of a Decision Support System for 3D Printing Processes based on Cyber Physical Production Systems

Procedia CIRP ◽  
2021 ◽  
Vol 98 ◽  
pp. 348-353
Author(s):  
Rishi Kumar ◽  
Christopher Rogall ◽  
Sebastian Thiede ◽  
Christoph Herrmann ◽  
Kuldip Singh Sangwan
Keyword(s):  
Decision Support ◽  
3D Printing ◽  
Decision Support System ◽  
Support System ◽  
Production Systems ◽  
Cyber Physical Production Systems ◽  
Printing Processes

scholarly journals V-model based development of cyber-physical systems and cyber-physical production systems

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 253-258
Author(s):  
Iris Gräßler ◽  
Dominik Wiechel ◽  
Daniel Roesmann ◽  
Henrik Thiele
Keyword(s):  
Production Systems ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Model Based ◽  
Cyber Physical Production Systems
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