Digitalisation has the potential to change the way we work in Chemical Engineering. In particular it is likely to change the way the process industries work with the potential of big data and its analysis making the operations and the supply chain much more responsive. It could also significantly change the innovation process in developing new products and processes.
Numerous terms are in common use nowadays. It is important to use commonly understood terms and thus standard definitions. A few resources are listed below to help interested engineers and technology strategists:
- Digitization, digitalization, digital transformation: comparative definitions HERE.
- Data science and scientist discussion HERE.
- White papers by McKinsey "Industry 4.0 How to navigate digitization of the manufacturing sector", Deloitte/VCI "Wachstum durch Innovation in einer Welt im Umbruch".
- A maturity assessment from Warwick U. is described HERE.
Topics: The Vision for Digitalisation in the Process Industries; The Potential of Digitalisation; the Role of Digitalisation across the Life Cycle: in R&D, Design and Operations; Round table discussions and potential outcomes include proposals, challenges, workshop ideas
by the EFCE Scientific Vice President, David Bogle
Some presentations with future-looking perspectives:
- Pantelides, C.C., 2019. Deep knowledge in process industry digitalization. Link.
- UK Gov, 2017. Made Smarter Review. Link.
- Winter, M., 2019. Digitalization of the European Chemical Industry. Link.
Relevant general articles in the scientific literature include:
- Beck, D.A.C., Carothers, J.C., Subramanian, V.R., Pfaendtner, J.,2016. Data science: accelerating innovation and discovery inchemical engineering. AIChE J. 62, 1402-1416. Link.
- Qi, Q., Tao, F., 2018. Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEEAccess 6, 3585-3593. Link.
- Venkatasubramanian, V., 2019. The promise of artificial intelligence in chemical engineering: is it here, finally? AIChE J. 65, 466-478. Link.
- Piccione, P.M., 2019. Realistic interplays between data science and chemical engineering in the first quarter of the 21st century: Facts and a vision. ChERD 147, 668-675. Link.