FMRG: Eco: Cyber Enabled Transformation to Circular Supply Chains for Sustainable Pharmaceutical Manufacturing Networks

FMRG：Eco：通过网络实现循环供应链转型，实现可持续药品制造网络

• 批准号: 2229250
• 负责人: Shweta Singh
• 金额: $ 300万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-11-01 至 2026-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2229250&HistoricalAwards=false
• 关键词: FMRG; Eco; Cyber; Enabled; Transformation

Current pharmaceutical manufacturing systems follow the linear model of “take, make, and dispose”. This model is neither economically nor environmentally sustainable. To enable future manufacturing to transition to a circular economy, making more efficient use of materials through recycling and repurposing, there is a growing emphasis on moving towards circular supply chains (CSCs). Many industries have begun to convert from centralized batch manufacturing to automation-driven continuous manufacturing that is based on actual, rather than predicted, levels of demand. Yet, while this reduces waste at the single-plant scale, it is not sufficient for the creation of a complete zero waste CSC integrated industrial ecosystem. Models do not exist that connect single-scale plants to the larger network, making it impossible to account for feedback interactions between single-scale process innovations and existing processes across the manufacturing network to optimize resource utilization. The goal of this project is to enable the design of zero waste future pharmaceutical manufacturing networks at a macroscale using an integrative, multidisciplinary approach focused on novel process chemistry and separation methods, macroscale modeling of manufacturing networks to integrate new processes at scale, and pricing optimization for collaborative decision making through dedicated cyberinfrastructure development. The cyberinfrastructure developed will aid in understanding the feedback loops between plant-scale automated manufacturing and macroscale manufacturing networks in making optimal decisions for adoption of recycling processes at scale and redesign of material flows towards CSCs. Targeted key contributions of the project are: 1) creating novel modular recycling processes for waste medicines to enable CSCs and digital twin models for the facilities, 2) automating the integration of novel processes in an existing network by advancing algorithms for multi- scale integration and advancing cyberinfrastructure, and 3) creating a dual pricing mechanism and econometric model to transition the whole system to a CSC by facilitating waste exchange and use of recycled active ingredients. These advancements will provide a framework to drive innovations in manufacturing processes at the single scale in convergence with macroscale manufacturing networks to create a zero-waste future manufacturing system. The approach of integrating modular manufacturing processes at the right scale in the overall network for zero waste pharmaceutical manufacturing will be generalizable to other future manufacturing networks. Graduate education in engineering will be enhanced to include convergence thinking by developing a “Computational Lab” to train interdisciplinary students in process design through macroscale network interactions for economic and environmental sustainability. Undergraduates and minority students will be engaged in research through Purdue's SURF program and existing Purdue partnerships with HBCUs and Purdue’s Women in Engineering program. For future workforce development in pharmaceutical manufacturing, the project team will partner with Purdue’s existing Biotechnology Innovation and Regulatory Science program and Office of Professional Practice to translate the research outcomes into industrial practice training through workshops for industrial stakeholders, student internships, and partnerships with Ivy Tech Community College. Integration through a web-based Hub of citizen data for use in driving network decisions will facilitate participation of citizens in sustainable future manufacturing.This Future Manufacturing award is supported by the following NSF divisions/directorates: CBET/ENG, CMMI/ENG, CHE/MPS, and SBE.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

目前的药品生产系统遵循“取、制、处置”的线性模式。这种模式在经济上和环境上都不可持续。为了使未来的制造业能够过渡到循环经济，通过回收和再利用更有效地利用材料，人们越来越强调向循环供应链（CSCs）发展。许多行业已经开始从集中式批量制造转变为基于实际需求水平而不是预测需求水平的自动化驱动的连续制造。然而，虽然这在单个工厂规模上减少了浪费，但这还不足以创建一个完全零浪费的CSC集成工业生态系统。目前还不存在将单规模工厂连接到更大网络的模型，因此无法解释单规模工艺创新与跨制造网络的现有工艺之间的反馈相互作用，以优化资源利用。该项目的目标是在宏观尺度上设计零浪费的未来制药制造网络，使用综合的多学科方法，专注于新型工艺化学和分离方法，制造网络的宏观建模以集成大规模的新工艺，以及通过专门的网络基础设施开发进行协作决策的定价优化。所开发的网络基础设施将有助于理解工厂规模的自动化制造和宏观规模的制造网络之间的反馈回路，从而为大规模采用回收过程做出最佳决策，并重新设计流向csc的物料流。该项目的目标主要贡献是：1)为废弃药物创建新的模块化回收流程，以实现CSC和设施的数字孪生模型；2)通过推进多尺度集成算法和推进网络基础设施，将新流程自动化集成到现有网络中；3)创建双重定价机制和计量经济模型，通过促进废物交换和回收活性成分的使用，将整个系统过渡到CSC。这些进步将提供一个框架，推动单一规模制造工艺的创新，与宏观制造网络融合，创造一个零浪费的未来制造系统。在零浪费制药制造的整体网络中以适当的规模集成模块化制造过程的方法将推广到其他未来的制造网络。通过建立“计算实验室”来培养跨学科的学生，通过宏观网络相互作用来实现经济和环境的可持续性，从而加强工程研究生教育，将融合思维纳入其中。本科生和少数族裔学生将通过普渡大学的SURF项目、普渡大学与hbcu的现有合作伙伴关系以及普渡大学的工程女性项目参与研究。为了未来制药行业的劳动力发展，项目团队将与普渡大学现有的生物技术创新和监管科学项目以及专业实践办公室合作，通过为工业利益相关者举办研讨会、学生实习以及与常青藤技术社区学院的合作，将研究成果转化为工业实践培训。通过基于网络的公民数据中心进行集成，用于推动网络决策，将促进公民参与可持续的未来制造业。该未来制造奖由以下NSF部门/董事支持：CBET/ENG， CMMI/ENG， CHE/MPS和SBE。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

A hybrid mechanistic machine learning approach to model industrial network dynamics for sustainable design of emerging carbon capture and utilization technologies

一种混合机械机器学习方法，用于模拟工业网络动态，以实现新兴碳捕获和利用技术的可持续设计

• DOI: 10.1039/d3se01032e
• 发表时间: 2023
• 期刊: Sustainable Energy & Fuels
• 影响因子: 5.6
• 作者: Shekhar, Abhimanyu Raj;Moar, Raghav R.;Singh, Shweta
• 通讯作者: Singh, Shweta