Digital manufacturing: History, perspectives, and outlook
By George Chryssolouris, D. Mavrikios, N. Papakostas, Dimitris Mourtzis, G. Michalos, K. Georgoulias. 2009
326 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/3ce38ea22be0f8562372f5152675c7a25b97a746
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In Industrial and Manufacturing Engineering
Citations in the corpus
- Simulation in the design and operation of manufacturing systems: state of the art and new trends (2019, background): “The industry has started to integrate advanced approaches towards interconnected systems that support higher precision decision making and realistic representation of the entities in the digital world (Chryssolouris, Mavrikios, et al. 2008).”
- The use of Digital Twin for predictive maintenance in manufacturing (2019, methodology): “Consequently, the speci fi c method can be used in order to support the user on assigning speci fi c tasks on the speci fi c manufacturing resources (Chryssolouris et al. 2008a).”
- Human–robot interaction review and challenges on task planning and programming (2016, background): “An extended research on digital manufacturing tools was presented in Chryssolouris et al. (2009) when the role of simulation was presented in Mourtzis, Doukas, and Bernidaki (2014).”
- Toward New-Generation Intelligent Manufacturing (2018, background): “…digital description, analysis, decision-making, and control of product information, process information, and resources information; in this way, digital manufacturing remarkably shortened the time required for designing and manufacturing products to meet specific customer requirements [15,16,26,27].”