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PDF(686 KB)
PDF(686 KB)
配方产品的智能流程制造
Smart Process Manufacturing for Formulated Products
文中概述了配方产品智能制造的挑战，这些产品通常是多组分、结构化和多相的。这些挑战主要存在于食品、制药、农用和专用化学品、能源储存和含能材料以及消费品行业，并且由快速变化的客户需求以及在某些情况下严格的监管框架所推动。本文论述了智能制造方面的进展，即数字化及使用含有预测模型和求解算法的大型数据集。虽然已经取得了一些进展，但仍然迫切需要对现实问题进行更多基于模型的工具演示，以证明其优势并突出系统性缺陷。
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.
智能制造 / 配方产品 / 药品 / 建模 / 供应链集成 / 不确定性
Smart manufacturing / Formulated products / Pharmaceuticals / Modeling / Supply chain integration / Uncertainty
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