Litster, J. orcid.org/0000-0003-4614-3501 and Bogle, I.D.L. (2019) Smart process manufacturing for formulated products. Engineering, 5 (6). pp. 1003-1009. ISSN 2095-8099
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Authors. . Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | Smart manufacturing; Formulated products; Pharmaceuticals; Modeling; Supply chain integration; Uncertainty |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 Dec 2019 10:50 |
Last Modified: | 14 Oct 2021 08:57 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.eng.2019.02.014 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154334 |