Proto-OKN Theme 1 - Supply and Demand Open Knowledge Network (SUDOKN)

该项目旨在建立和部署一个供需开放知识网络（SUDOKN），该网络可以作为国防、航空航天、汽车和生物制造等各个行业供应链分析和风险管理解决方案的知识基础。SUDOKN将由几个开放和相互关联的知识图组成，建立在各种类型的供需数据基础上。这些图表将解决与供应商发现、能力和能力分析相关的挑战，并与正式本体保持一致。该项目将通过开发一套基于原则、精确公理化和可重复使用的本体，创建摄取、收集、处理和搜索制造数据所需的工具，并利用这些工具和本体构建一个开放的制造能力网络及其来自不同数据集的支持知识图，来实现对公共供应和需求数据的民主化访问，并最大限度地提高其效用。本研究整合了哲学、计算机科学、系统工程、供应链与物流、设计与制造工程等多个学科的概念，通过建立一种新的制造能力建模形式，推进了网络制造的发展。它创建了一个开放的制造服务生态系统，与制造即服务（MaaS）范式保持一致，并开发了原创的方法和算法，为制造资源提供认知能力。这项工作旨在通过提高知名度、竞争力和敏捷性来增强中小型制造商（SMM）的能力。它将刺激新的研究，以了解制造能力如何形成和发展。这些结果将有助于增强美国供应链的弹性和稳健性，直接影响我们的国家安全和经济繁荣。项目成果将被纳入参与机构的研究生和本科生课程，学生在这一研究议程中发挥直接作用。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智力价值和更广泛的影响审查标准进行评估来支持。

This project aims to prototype and deploy a Supply and Demand Open Knowledge Network (SUDOKN) that can serve as the knowledge base for supply chain analysis and risk management solutions in various industries, including defense, aerospace, automotive, and biomanufacturing. SUDOKN will consist of several open and interconnected knowledge graphs, built on various types of supply and demand data. These graphs will address challenges related to supplier discovery, capability, and capacity analysis, and will align with formal ontologies. This project will democratize access to publicly available supply and demand data and maximize its utility by developing a set of principle-based, accurately axiomatized, and reusable ontologies, creating the tools required to ingest, gather, process, and search manufacturing data, and utilizing these tools and ontologies to build an open Manufacturing Capability Network and its supporting knowledge graphs from diverse datasets. This research integrates concepts from a variety of disciplines, including philosophy, computer science, systems engineering, supply chain and logistics, and design and manufacturing engineering.The project advances the state-of-the-art in cyber-manufacturing by establishing a new formalism for manufacturing capability modeling. It creates an open ecosystem of manufacturing services aligned with the Manufacturing-as-a-Service (MaaS) paradigm and develops original methods and algorithms to provide manufacturing resources with cognitive capabilities. This effort aims to empower small and medium-sized manufacturers (SMMs) by enhancing their visibility, competitiveness, and agility. It will stimulate new research into understanding how manufacturing capabilities form and evolve over time. The results will contribute to more resilient and robust U.S. supply chains, directly impacting our national security and economic prosperity. The project outcomes will be integrated into the graduate and undergraduate curricula at the participating institutions, with students playing a direct role in this research agenda.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.