RAPID: Supply Chain Portal to Serve Entrepreneurs Producing Critical Items in Response to COVID-19

这个COVID-19 RAPID项目结合了NSF融合加速器商业开放知识网络（博肯）和制造业开放知识网络（MOKN）的努力，以开发知识资源，支持发现制造商和材料供应商，以帮助组装新的供应链，特别是专注于个人防护设备（PPE），如呼吸机。博肯编码关于企业及其能力的信息，而多媒体知识网络编码关于商品的制造信息。通过结合两个网络的信息和能力，这个综合性的COVID RAPID项目将开发搜索和匹配工具，帮助企业家和制造商迅速适应生产新型产品所需的供应链和流程。关键信息沿着分析能力，用于执行信息提取、数据清理和数据表示，将通过门户网站访问，最初侧重于PPE的供应链。所开发的资源可以同样很好地被小企业和企业家以及更成熟的组织使用。该项目将利用来自不同来源的数据，包括制造商开源的制造设计;来自运输清单的组件信息;以及来自网站和社交媒体页面的公司制造能力。通过门户网站提供的服务将使用户能够查找数据，确定从何处获取组件，和/或从这些组件生产哪些设计。该项目将开发一个端到端系统，用于生成、表示和填充新的供应链和流程，最初重点关注个人防护装备的制造。这些目标将通过创建用于浏览公司信息的增强界面来实现，包括与其他公司的关系和每个企业的简介信息。将在向量空间模型中开发制造企业的学习表示，以更好地捕捉制造能力，并调查材料，零件和子组件的模糊匹配能力。PPE专利权利要求中提到的材料和部件将特别令人感兴趣。该项目将建立提单数据与国内进口商以及材料和零件潜在供应商之间的关系。用户将能够集成来自多个信息源的产品，以快速满足紧急的生产需求，最初从PPE开始，但可扩展到其他关键产品。该奖项由整合活动办公室的融合加速器项目颁发，并与融合加速器轨道A：开放知识网络相关联。该奖项反映了NSF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。

This COVID-19 RAPID project combines the efforts of the NSF Convergence Accelerator Business Open Knowledge Network (BOKN) and Manufacturing Open Knowledge Network (MOKN) in order to develop a knowledge resource to support the discovery of manufacturers and materials suppliers to help assemble new supply chains, particularly focusing on personal protective equipment (PPE), such as ventilators. The BOKN encodes information about businesses and their capabilities, while the MOKN encodes manufacturing information about goods. By combining information and capabilities from both networks, this integrative COVID RAPID project will develop search and matching tools that will help entrepreneurs and manufacturers to adapt swiftly to the supply chains and processes needed to produce new types of products. The key information along with analysis capabilities for performing information extraction, data cleaning, and data representation will be accessible via a web portal, initially focusing on supply chains for PPE. The resources developed can be used equally well by small businesses and entrepreneurs as well as more established organizations. The project will harness data from a diverse set of sources, including manufacturing designs open-sourced by manufacturers; component information from shipping manifests; and manufacturing capabilities of firms sourced from websites and social media pages. Services provided via the web portal will enable users to find data, determine where to source components, and/or which designs to produce from these components. The project will develop an end-to-end system for generating, representing and populating new supply chains and processes focusing, initially, on the manufacture of PPE. These objectives will be achieved by the creation of enhanced interfaces for navigating company information, including relationships to other companies and profile information about each business. Learned representations of manufacturing firms will be developed in vector space models to better capture manufacturing capabilities and to investigate fuzzy matching capabilities for materials, parts, and sub-components. The materials and parts mentioned in patent claims for PPE will be of particular interest. The project will create the relationships between bill of lading data and domestic importers, and potential suppliers of materials and parts. Users will be able to integrate offerings from multiple information sources to rapidly meet emergent production needs, beginning initially with PPE, but extendibly to other critical products. This RAPID award is made by the Convergence Accelerator program in the Office of Integrative Activities and is associated with the Convergence Accelerator Track A: Open Knowledge Network.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.