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作 者:Wenhui Yang Haoyu Yin Zhihong Yuan Bingzhen Chen
机构地区:[1]State Key Laboratory of Chemical Engineering,Department of Chemical Engineering,Tsinghua University,Beijing 100084,China [2]School of Material Science and Engineering,Tsinghua University,Beijing 100084,China [3]Department of Chemical Engineering,Tsinghua University,Beijing 100084,China
出 处:《Chinese Journal of Chemical Engineering》2022年第11期115-125,共11页中国化学工程学报(英文版)
基 金:the financial support from the National Key Research and Development Program of China(2018AAA0101602)。
摘 要:Continuous ibuprofen(a widespread used analgesic drug)manufacturing is full of superiorities and is a fertile field both in industry and academia since it can not only effectively treat rheumatic and other chronic and painful diseases,but also shows great potential in dental diseases.As one of central elements of operability analysis,flexibility analysis is in charge of the quantitative assessment of the capability to guarantee the feasible operation in face of variations on uncertain parameters.In this paper,we focus on the flexibility index calculation for the continuous ibuprofen manufacturing process.We update existing state-of-the-art formulations,which traditionally lead to the max-max-max optimization problem,to approach the calculation of the flexibility index with a favorable manner.Advantages regarding the size of the mathematical model and the computational CPU time of the modified method are examined by four cases.In addition to identifying the flexibility index without any consideration of control variables,we also investigate the effects of different combinations of control variables on the flexibility property to reveal the benefits from taking recourse actions into account.Results from systematic investigations are expected to provide a solid basis for the further control system design and optimal operation of continuous ibuprofen manufacturing.
关 键 词:Continuous manufacturing Pharmaceuticals Mathematical modeling Flexibility analysis Mixed integer programing OPTIMIZATION
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