Intelligent Products: A survey
By G. Meyer, Kary Främling, Jan Holmström. Computers in industry (Print), 2009
516 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/b01018ba31ab288140da48d073713908ebe0afa0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Baicun Wang
- Adrie J. M. Beulens
- Peigen Li
- Edward Elson Kosasih
- Yanhong Zhou
- Ji Zhou
- Jie Zhang
- JiYuan Zang
Citations in the corpus
- Toward New-Generation Intelligent Manufacturing (2018, background): “The former is the value carrier of intelligent manufacturing, while the latter is the precondition and foundation for implementing intelligent manufacturing [58].”
- Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions (2020, methodology): “…and captures information related only to a specific physical part and thus can be viewed as an instantiation of DT. • Intelligent Product [48, 83, 50]: A DT can be seen as an extension of Intelligent Product which uses the new technologies like IoT, Big Data and Machine Learning which were…”
- Virtualization of food supply chains with the internet of things (2016, background): “As a consequence, application services can be classified into information handling, problem notification and decision making services (Meyer et al., 2009).”
- A Review of Wireless Sensor Technologies and Applications in Agriculture and Food Industry: State of the Art and Current Trends (2009, background): “In the next years, the lowering cost of WST will provide the opportunity to track and trace not only large and expensive products, but small and cheap ones, creating a new generation of intelligence products [92].”