Skip to main content

Research Repository

Advanced Search

All Outputs (3)

Management approaches for Industry 4.0: A human resource management perspective (2016)
Presentation / Conference Contribution
Shamim, S., Cang, S., Yu, H., & Li, Y. (2016). Management approaches for Industry 4.0: A human resource management perspective. In 2016 IEEE Congress on Evolutionary Computation (CEC). https://doi.org/10.1109/cec.2016.7748365

Industry 4.0 is characterized by smart manufacturing, implementation of Cyber Physical Systems (CPS) for production, i.e., embedded actuators and sensors, networks of microcomputers, and linking the machines to the value chain. It further considers t... Read More about Management approaches for Industry 4.0: A human resource management perspective.

Robot-assisted smart firefighting and interdisciplinary perspectives (2016)
Presentation / Conference Contribution
Liu, P., Yu, H., Cang, S., & Vladareanu, L. (2016). Robot-assisted smart firefighting and interdisciplinary perspectives. In 2016 22nd International Conference on Automation and Computing (ICAC). https://doi.org/10.1109/iconac.2016.7604952

Urbanization and changes in modern infrastructure have introduced new challenges to current firefighting practices. The current manual operations and training including fire investigation, hazardous chemicals detection, fire and rescue are insufficie... Read More about Robot-assisted smart firefighting and interdisciplinary perspectives.

Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm (2016)
Presentation / Conference Contribution
Saldivar, A. A. F., Goh, C., Li, Y., Chen, Y., & Yu, H. (2016, September). Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm. Presented at 2016 22nd International Conference on Automation and Computing (ICAC), Colchester, United Kingdom

Industry 4.0 aims at achieving mass customization at a mass production cost. A key component to realizing this is accurate prediction of customer needs and wants, which is however a challenging issue due to the lack of smart analytics tools. This pap... Read More about Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm.