Abstract
The recent leap advances in sensor and communication technologies made possible the Internet connectivity of the physical world: the Internet of Things, where not only documents and images are created, shared, or modified in the cyberspace, but also the physical resources interact over Internet and make decisions based on shared communication. The Big Data revolution has set the stage for the use of large data sets to predict the behaviour of consumers, organizations, and markets, taking into account the real-time outcomes of complex or unexpected events. Manufacturing can benefit from both these advances and move the manufacturing community closer towards the predictive manufacturing systems paradigm. Prediction in manufacturing operations could vary from simple resource failure prediction to more complex predictions of consumer behaviour and adaptation of manufacturing operations to address the expected changes in the business environment.
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Babiceanu, R.F., Seker, R. (2015). Manufacturing Operations, Internet of Things, and Big Data: Towards Predictive Manufacturing Systems. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds) Service Orientation in Holonic and Multi-agent Manufacturing. Studies in Computational Intelligence, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-319-15159-5_15
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DOI: https://doi.org/10.1007/978-3-319-15159-5_15
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