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作 者:James Litster Ian David L Bogle
机构地区:[1]Department of Chemical and Biological Engineering,University of Sheffield,Sheffield S102TN,UK [2]Centre for Process Systems Engineering,Department of Chemical Engineering,University College London,London WC1E 6BT,UK
出 处:《Engineering》2019年第6期1003-1009,共7页工程(英文)
摘 要:We outline the smart manufacturing challenges for formulated products, which are typically multicom- ponent, structured, and multiphase. These challenges predominate in the food, pharmaceuticals, agricul- tural 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 data- sets with predictive models and solution- nding algorithms in these industries. While some progress has been achieved, there is a strong need for more demonstration of model-based tools on realistic prob- lems in order to demonstrate their bene ts and highlight any systemic weaknesses.
关 键 词:Smart manufacturing Formulated products Pharmaceuticals MODELING Supply chain integration UNCERTAINTY
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