Litster, J;
Bogle, IDL;
(2019)
Smart Process Manufacturing for Formulated Products.
Engineering
, 5
(6)
pp. 1003-1009.
10.1016/j.eng.2019.02.014.
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Abstract
We outline the smart manufacturing challenges for formulated products, which are typically multicomponent, structured, and multiphase. These challenges predominate in the food, pharmaceuticals, agricultural and specialty chemicals, energy storage and energetic materials, and consumer goods industries, and are driven by fast-changing customer demand and, in some cases, a tight regulatory framework. This paper discusses progress in smart manufacturing—namely, digitalization and the use of large datasets with predictive models and solution-finding algorithms—in these industries. While some progress has been achieved, there is a strong need for more demonstration of model-based tools on realistic problems in order to demonstrate their benefits and highlight any systemic weaknesses.
| Type: | Article |
|---|---|
| Title: | Smart Process Manufacturing for Formulated Products |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.eng.2019.02.014 |
| Publisher version: | https://doi.org/10.1016/j.eng.2019.02.014 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Science & Technology, Technology, Engineering, Multidisciplinary, Engineering, Smart manufacturing, Formulated products, Pharmaceuticals, Modeling, Supply chain integration, Uncertainty, WET GRANULATION, OPTIMIZATION, DESIGN, UNCERTAINTY, CHALLENGES, MODEL, PERFORMANCE, FRAMEWORK, SYSTEMS |
| UCL classification: | UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10090758 |
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