SBIR Phase I: Supply Chain Optimization and Product Explorer

SBIR 第一阶段：供应链优化和产品探索

• 批准号: 0512465
• 负责人: Nainesh Rathod
• 金额: $ 10万
• 依托单位: IMAGINESTICS LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0512465&HistoricalAwards=false
• 关键词: SBIR; Phase; Supply; Chain; Optimization

This Small Business Innovation Research Phase I project explores the feasibility to develop a Supply Chain Optimization and Product Explorer (SCOPE) that includes a unique 3D Shape Search technology, and enables tighter integration across the extended enterprise and seamless flow of information up the supply chain to decision makers at the point when product parameters are being specified. The research and development objectives are to 1) Develop a 3D Shape Search Technology that will initially be geared towards search and retrieval of parts and products from a manufacturing supply chain. 2) Develop a SCOPE architecture to index 3D part and product information across a supply chain network. The architecture will be conceptualized and a representative model will be prototyped to show system as a whole, which would include the utilization of the 3D Shape search research and demonstration of search results. The 3D shape search algorithm will be developed by using the methodology of representing a 3D B-Rep part as a voxel model, which is an approximation of the 3D geometry by a set of cubic volume elements. The 3D shape search technology research will include the development of 1) Shape Representation using Landmark and Skeletal graphs. Skeletal graph representation method captures detailed level shape representation and hierarchical skeletal graph structure allows for local shape matching. 2) Shape comparison using low information loss, histogram representation of the graph to allow for quick and accurate graph comparison. 3) Intelligent Query Interface that will have a quick and novel way of representing the topology of the shape in the query, selection of feature of interest in the query part, and easily navigable cluster based search results interface. The proposed research, will allow application of the 3D shape search technology to bridge the gap realized by the industry, for a technology that will allow quick and accurate location of part and product data in real-time across the supply chain, thus enabling a cohesive extended enterprise and an optimized supply-chain. US manufacturers are currently faced with a critical gap in capability in current Supply Chain Management systems related to real-time search and retrieval of information from the supply chain at the point when product parameters are being specified leading to billions of dollars worth of obsolete parts inventory, locked up inventory on part information and wastage of valuable man-hours in non productive search and redesign work. SCOPE, along with its 3D search technology aims to address this technology gap, by enabling reliable and accurate access to part data stored in disparate formats across a supply chain, information that was hitherto inaccessible using traditional search technologies. Given a growing trend amongst companies in aerospace, manufacturing, medical equipments and other industries towards 3Ddata definition, the 3Dsearch technology provides a quantum leap in terms of accuracy, speed and relevance in the search and retrieval of information existing within the supply chain. Importantly the 3D shape search with its radical improvement in search and retrieval capabilities has the potential to create completely new markets and products, by becoming a foundation technology for advanced search systems having applications as diverse as identifying molecules for pharmaceutical or bio-technology research to face recognition for security agencies. SCOPE along with its unique 3D shape search technology will enable US companies in aerospace, manufacturing and medical equipments to save billions of dollars through better integration and optimization of their supply chain.

该小型企业创新研究第一阶段项目探讨了开发供应链优化和产品浏览器 (SCOPE) 的可行性，其中包括独特的 3D 形状搜索技术，并在指定产品参数时实现整个扩展企业的更紧密集成，以及信息沿着供应链无缝流向决策者。研究和开发目标是 1) 开发 3D 形状搜索技术，该技术最初将用于从制造供应链中搜索和检索零件和产品。 2) 开发 SCOPE 架构来索引整个供应链网络中的 3D 零件和产品信息。该架构将被概念化，并且将制作一个代表性模型的原型来展示整个系统，其中包括 3D 形状搜索研究的利用和搜索结果的演示。 3D 形状搜索算法将通过使用将 3D B-Rep 零件表示为体素模型的方法来开发，体素模型是一组立方体积元素对 3D 几何形状的近似。 3D 形状搜索技术研究将包括开发 1) 使用地标和骨架图的形状表示。骨架图表示方法捕获详细的级别形状表示，分层骨架图结构允许局部形状匹配。 2) 使用低信息损失、直方图表示的图形进行形状比较，以允许快速、准确的图形比较。 3) 智能查询界面，将具有快速而新颖的方式来表示查询中形状的拓扑、选择查询部分中感兴趣的特征以及易于导航的基于集群的搜索结果界面。 拟议的研究将允许应用 3D 形状搜索技术来弥合行业实现的差距，该技术将允许在整个供应链中实时快速准确地定位零件和产品数据，从而实现有凝聚力的扩展企业和优化的供应链。美国制造商目前在供应链管理系统中面临着严重的能力差距，这些系统涉及在指定产品参数时实时搜索和检索供应链中的信息，从而导致价值数十亿美元的过时零件库存、锁定零件信息库存以及在非生产性搜索和重新设计工作中浪费宝贵的工时。 SCOPE 及其 3D 搜索技术旨在通过可靠、准确地访问整个供应链中以不同格式存储的零件数据来解决这一技术差距，而这些信息迄今为止使用传统搜索技术无法访问。鉴于航空航天、制造、医疗设备和其他行业的公司越来越倾向于 3D 数据定义，3Dsearch 技术在搜索和检索供应链中现有信息的准确性、速度和相关性方面实现了巨大飞跃。重要的是，3D 形状搜索凭借其搜索和检索能力的根本改进，有潜力创造全新的市场和产品，成为高级搜索系统的基础技术，其应用范围广泛，包括识别药物或生物技术研究的分子，以供安全机构识别。 SCOPE 及其独特的 3D 形状搜索技术将使美国航空航天、制造和医疗设备公司通过更好地整合和优化其供应链来节省数十亿美元。