Industry 4.0: a way from mass customization to mass personalization production
By Yi Wang, Haishu Ma, Jinghui Yang, Ke-sheng Wang. 2017
457 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/80d01b032250682077e8e532b621c0a118c2ca12
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In Industrial and Manufacturing Engineering
In Management of Technology and Innovation
Citations in the corpus
- The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “…of specific optimisation algorithms from AI systems can be combined with the IoT to achieve work in process (WIP) management, resource allocation, and production scheduling (Cohen et al. 2019; González Rodríguez, Gonzalez-Cava, and Méndez Pérez 2020; Moussa and ElMaraghy 2019; Wang et al. 2017).”