EAGER: Cybermanufacturing: Advanced Modeling and Information Management in Pharmaceutical Manufacturing

Ierapetritou，1547171该项目的总体目标是开发一个数据支持的计算框架，用于利用网络基础设施（CI）的进步来有效设计和改进制药工艺的操作。目前，制药行业的产品/工艺设计主要是以经验的方式进行的，主要依赖于启发式实验-因此FDA在关键路径倡议中提出了向更注重质量的设计（Qbd）范式过渡的警告。为了使这种基于QbD的决策实际上适用于制药行业，需要一个强大的计算框架。该框架将允许高保真仿真、实验数据和物理传感器与运行时系统的无缝集成，该运行时系统支持在先进的计算平台上动态执行模型仿真、验证和精化。以及2）中试装置实验设备内的模型集成和多尺度模型的实时细化。通过NSF-ERC为PI提供结构化有机颗粒系统的试验工厂，并允许在现实环境中进行验证和测试。这项工作应该导致几个理论上的进步，即：1）一种有效的方法来开发一个多尺度模型的混合器-蒸馏过程，和2）策略，将开发的模型与物理传感器和过程，实验数据，结合一个强大的计算框架。所提出的方法将为决策者提供灵活的解决方案，因为他们可以利用开发的框架作为虚拟实验工具包，在真实的工厂实施之前，在计算机上执行假设情景，以获得最佳的操作条件。更广泛的影响：研究结果可用于提高许多处理颗粒工艺的行业的盈利能力和可持续性，从而直接影响美国经济，包括食品，制药和化学工业。软件原型和解决项目期间开发的问题的解决方案库将提供给该领域的其他研究人员使用和改进。PI将把研究结果整合到当前的本科设计课程中。这将使老年人不仅可以解决当前的化学/生物化学问题，还可以解决与罗格斯大学周围主要以颗粒为基础的行业相关的问题，这些行业对新泽西经济至关重要。共同PI Jha还将在欧洲经委会推出一个新的选修课，题为“先进的高性能和分布式计算”，并将使用研究问题和研究结果作为案例研究。PI将与参与该提案的行业合作者合作，以获得与行业高度相关的现实案例研究，从而提高毕业高级班的就业能力。为了鼓励代表性不足的群体，项目执行机构还将与罗格斯大学内的少数民族社团（全国黑人工程师学会）和道格拉斯妇女科学研究所合作，这些社团和研究所已经制定了各种方案，以便在研究生一级接触并招募合格的妇女和少数民族学生。

Ierapetritou, 1547171The overall objective of this project is to develop a data-enabled computational framework for the efficient design and improved operation of pharmaceutical processes using advances in cyberinfrastructure (CI). At present, product/process design in the pharmaceutical industry is largely performed in an empirical manner relying primarily on heuristic experimentation - hence the alarm raised by the FDA in the Critical Path Initiative to transition toward a more Quality-by-Design (Qbd) paradigm. For such QbD-based decision making to be practically applicable in the pharmaceutical industry, a robust computational framework is required. The proposed framework will allow the seamless integration of high-fidelity simulations, experimental data and physical sensors with a runtime system that supports the dynamic execution of model simulations, validation and refinement, on advanced computing platforms.Intellectual Merit :Motivated by the these considerations, this work will target the following specific aims: 1) CI enabled multi-scale process modeling of an integrated production line; and 2) model integration within a pilot-plant experimental facility and real-time refinement of the multi-scale model. A pilot plant available to the PIs via the NSF-ERC on structured organic particulate systems and will allow the validation and testing in a realistic setting. The work should lead to several theoretical advances namely: 1) an efficient method to develop a multi-scale model of a mixer-granulator process, and 2) strategies to integrate developed models with physical sensors and processes, experimental data, in combination with a robust computational framework. The proposed approach will result in flexible solutions for decision-makers as they can utilize the developed framework as a virtual experimental toolkit to perform what-if-scenarios in silico to obtain optimal operating conditions, prior to implementation in the real plant. Broader Impacts :Research findings can be used to enhance the profitability and sustainability of many industries that deal with particulate processes, thus directly impacting the US economy including food, pharmaceutical, and chemical industries. Software prototypes and a library of solutions to problems developed during the project will be made available for other researchers in the field to use and improve upon. The PIs will integrate research findings into the current undergraduate design course. This will enable seniors to not only work on current chemical/biochemical problems but also on problems relevant to the predominantly particulate-based industries that surround Rutgers and are critical to the New Jersey economy. Co-PI Jha will also introduce a new elective in ECE titled "Advanced High-Performance and Distributed Computing" and will use research problems and findings as case-studies. The PIs will work with industrial collaborators involved in this proposal to obtain realistic case studies that are highly industrially relevant, thereby increasing the employability of the graduating senior class. To encourage under represented groups, the PIs will also work with minority societies within Rutgers, (National Society of Black Engineers), and the Douglas Science Institute for Women, which have established programs in place, to expose and thereafter recruit qualified women and minority students at the graduate level.