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.

目前的制药生产系统遵循“取、制、弃”的线性模型。这种模式在经济上和环境上都是不可持续的。为了使未来的制造业能够过渡到循环经济，通过回收和再利用来更有效地利用材料，人们越来越重视向循环供应链（CSC）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而非预测需求水平的自动化驱动的连续制造。然而，尽管这在单个工厂规模上减少了浪费，但这不足以创建一个完全零浪费的CSC综合工业生态系统。不存在将单规模工厂连接到更大网络的模型，因此无法考虑单规模流程创新与整个制造网络中现有流程之间的反馈交互，以优化资源利用率。该项目的目标是使用综合的多学科方法在宏观尺度上设计零废物的未来制药制造网络，该方法侧重于新的工艺化学和分离方法，制造网络的宏观尺度建模以大规模整合新工艺，并通过专用网络基础设施开发进行协作决策的定价优化。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制造网络之间的反馈回路，从而为大规模采用回收流程和重新设计向CSC的材料流做出最佳决策。该项目有针对性的主要贡献是：1）为废药品创建新的模块化回收过程，以实现设施的CSC和数字孪生模型，2）通过推进多尺度集成的算法和推进网络基础设施来自动化现有网络中新过程的集成，以及3）建立双重定价机制和经济计量模型，通过促进废物交换和使用循环再造的有效成分，将整个系统过渡到CSC。这些进步将提供一个框架，推动单一规模的制造工艺创新，与宏观规模的制造网络融合，以创建零浪费的未来制造系统。在整个网络中以适当的规模整合模块化制造工艺以实现零废物制药生产的方法将推广到其他未来的制造网络。工程学研究生教育将得到加强，包括通过开发“计算实验室”来培养跨学科学生通过宏观网络互动进行工艺设计，以实现经济和环境的可持续性。本科生和少数民族学生将通过普渡大学的SURF计划和现有的普渡大学与HBCU和普渡大学的妇女在工程计划的合作伙伴关系从事研究。对于制药业未来的劳动力发展，该项目团队将与普渡大学现有的生物技术创新和监管科学计划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，学生实习以及与常春藤科技社区学院合作，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。该未来制造奖由以下NSF部门/董事会支持：CBET/ENG、CMMI/ENG、CHE/MPS、该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响进行评估来支持审查标准。

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