SGER: Foundations for Bioproduction

生物工程有望改善数百万人的生活，这需要高效的生产和供应链物流系统，能够制造并向患者提供数百万种高质量、低成本的产品。该项目的目标是研究如何将设计此类系统的工业工程和运筹学（IEOR）工具应用于生物制造，并建立一个研究议程，以便修改现有的IEOR工具，并开发新的工具，以提高生物生产系统的效率。该项目的目标是通过探索生物制剂在生产可扩展性、交叉污染、监管和治疗特性方面的差异如何影响生产计划、产能扩张计划和分析、质量控制、供应链优化、生产经济学和组织结构，培养对生物制造的基本理解。在其他高科技行业中，模拟、调度和生产控制、产能规划和生产经济、质量控制和供应链优化等IEOR工具有助于显著提高效率。以同样的方式影响生物制药行业的潜力是存在的。然而，这是一个非常不同的行业，有自己的一套标准、限制和问题，必须理解和量化。对这些问题和IEOR技术对生物制药工业的潜在影响的明确阐述将有助于建立这一领域的研究议程。该项目将包括一个有工业界和学术界参与的研讨会，并为生物制造的物流和生产系统的新研究生课程奠定基础。此外，将启动使用生产率、速度、灵活性和质量的性能指标进行基准测试的最佳实践。

The promise of bioengineering to improve millions of lives will require efficient production and supply chain logistics systems that can manufacture and deliver millions of high quality, low cost products to patients. The objective of this project is to study how industrial engineering and operations research (IEOR) tools for designing such systems can be applied to biomanufacturing, and to establish a research agenda so that current IEOR tools can be modified, and new tools can be developed, to improve bioproduction systems efficiency. The project goal is to develop a fundamental understanding of biomanufacturing by exploring how differences in production scalability, cross-contamination, regulation, and the therapeutic characteristics of biologics impact production planning, capacity expansion planning and analysis, quality control, supply chain optimization, production economics, and organization structure.Within other high-tech industries, IEOR tools such as simulation, scheduling and production control, capacity planning and production economics, quality control, and supply chain optimization have helped to dramatically increase efficiency. The potential exists to impact the biopharmaceutical industry in the same way. However, this is a very different industry, with its own set of criteria, constraints, and issues that must be understood and quantified. A clear articulation of these issues and potential impact of IEOR technology on the biopharmaceutical industry will help establish a research agenda in this area. This project will include a workshop with both industrial and academic participation as well as form the basis for a new graduate course on logistics and production systems for biomanufacturing. In addition, best practices benchmarking using performance metrics for productivity, speed, flexibility and quality will be initiated.