Cloud computing in manufacturing: The next industrial revolution in Malaysia?
By Keng-Boon Ooi, Voon‐Hsien Lee, Garry Wei-Han Tan, Teck-Soon Hew, Jun-Jie Hew. Expert systems with applications, 2018
310 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Industrial and Manufacturing Engineering, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/53a12e4701c52c317b47c4351c10b04de0688684
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In Artificial Intelligence
In Information Systems and Management
Citations in the corpus
- Unearthing the determinants of Blockchain adoption in supply chain management (2020, methodology): “EE has consistently been found to have a positive influence on BI by various studies such as healthcare supply chain (Chong et al. 2015), humanitarian supply chain (Kabra et al. 2017) and in manufacturing (Ooi et al. 2018b; Schniederjans 2017).”
- Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies? (2021, background): “[7] (2018), Radziwill [8] 2018 believe that we are currently in the 4IR or Industry 4.”
- Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0 (2018, background): “This facilitates the vision of the “smart factory”, which enables centralized decision-making while requiring distributed manufacturing equipment and resources [3,4].”
- The adoption of Industry 4.0 technologies in SMEs: results of an international study (2019, background): “Premkumar and Roberts, 1999), in the success of the innovative projects (Young and Jordan, 2008) and in the integration of technologies into business processes, which in turn facilitates the adoption and usage of cloud computing tools (Ooi et al., 2018).”