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埃森哲:化工数字化研发的六个基本要素(2022)(中译版)(17页).pdf

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1、The evolution of digital R&D in chemicalsFrom disruption to maturity:Digitalization has had a substantial impact on many aspects of the chemical industry,helping companies collaborate across their value chains,increase productivity and create new channels to markets.Research and development(R&D)is n

2、o exception,as companies have turned to digital technology to help accelerate the creation of new higher value and higher margin products.Some chemical companies are using technology to increase throughput in the development of molecules with advanced functionalities.Others are performing predictive

3、 simulations to optimize formulations for cost and performance.And yet others are mining data from past experiments to determine how to better allocate resources to maximize the efficiency of R&D teams.Such practices have been used in the pharmaceutical industry for some time,but they were economica

4、lly impractical for chemical companies due to smaller sample sizes and less repetition in lab work.However,advances in technology have been making large-scale computing relatively inexpensive,leading chemical companies to adopt digital R&D at a faster pace.While those efforts have brought results,th

5、e challenge now is to move beyond the fragmented and one-off use of technology to the cross-functional and cross-value chain integration needed to bring the full potential of digital to life.2The evolution of digital R&D in chemicalsSix building blocks of digital R&D123456Evolving technology means t

6、hat chemical companies have a growing range of options to consider when applying digital tools in R&D.In our view,there are six technology“building blocks”that will likely be key to tomorrows R&D function.Co-creation platforms to foster collaboration and integrationIntelligent knowledge management f

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本文主要讨论了数字研发在化学工业中的演变,以及如何利用数字技术加速化学新产品的研发。文章指出,数字技术对化学工业的各个方面产生了重大影响,包括研发。一些化学公司正在使用技术来提高具有高级功能分子的吞吐量,进行预测性模拟以优化配方,以及从过去的实验中挖掘数据以更好地分配资源。文章提出了六个关键的数字研发“构建模块”,包括协同创作平台、智能知识管理、量子计算、人工智能、实验室自动化和搜索与内容分析。这些模块可以应用于从概念到商业化和营销的产品创新的核心研发过程。文章还指出,数字研发可以带来显著的经济价值,例如提高资源分配的优化程度,加快产品上市时间,并提高实验室的质量和可靠性。最后,文章建议化学公司采取敏捷的执行方式,构建先进的数据和技术平台,并制定愿景和路线图,以实现从物理研发到数字研发的转变。
数字R&D如何改变化学行业? 化学公司如何利用AI加速产品创新? 量子计算如何改变分子比较分析?
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