EAGER: Cybermanufacturing: Enabling Production as a Service (PaaS)

生产即服务(PaaS)定义了制造业中的一种新范式，它将允许新产品的设计者查询现有的制造设施，并接收有关制造能力和生产可用性的信息。获得部件成本、部件质量和生产时间等信息将有助于快速制作新产品的原型和扩大规模，同时还允许现有制造设施受益于未充分利用的设备和劳动力。PaaS框架将包括面向用户的前端查询界面和后端分析组件。该接口将设计为将用户与小型、中型和大型制造设施连接起来，而调度和路线选择算法将提供所需的灵活性和安全协议，以确保各种设施的运营和生产安全。利用PaaS框架的制造商将获得在成本、质量、按时交付方面满足客户需求的潜力，同时对不断变化的市场力量做出反应。由于制造业占国内生产总值的12%，这一早期概念探索性研究拨款(AGIRE)项目将带来制造业运营改善，有可能在国家底线方面产生重大影响。PaaS平台的目标是使分散的制造工厂位置能够在一个工厂位置内以及跨工厂位置进行高效协调，以实现支持生产管理的灵活服务界面。这项研究的智力价值在于将在面向服务的体系结构中对现有科学和技术进行扩展，以实现分布式生产，同时保留制造系统的专有信息。实现这一创新的关键软件抽象来自于对知名API的扩展，以捕获复杂的查询逻辑和多样化的生产需求，以满足用户需求。工艺路线和调度决策将通过利用制造设施中所有部件的当前状态的全局视图进行优化。为了展示可伸缩性并确保跨多个设施的隐私保证，将使用分层抽象来隐藏低级别详细信息和专有信息。PaaS框架将改变制造公司与新兴高价值市场互动的方式；提供推动创新的架构，并使美国各地的中小型和大型制造公司能够在公平的竞争环境中竞争新产品业务。

Production as a service (PaaS) defines a new paradigm in manufacturing that will allow designers of new products to query existing manufacturing facilities and receive information about fabrication capabilities and production availability. The access to information such as part cost, part quality, and production time will help new products to be prototyped and scaled-up quickly, while also allowing existing manufacturing facilities to benefit from underutilized equipment and labor. The PaaS framework will include both a front-end query interface for the users and a back-end analysis component. The interface will be designed to connect users with small-, mid-, and large-sized manufacturing facilities, while the scheduling and routing algorithms will provide the flexibility and security protocols needed to guarantee operational and production safety across the range of facilities. Manufacturers that utilize the PaaS framework will reap the potential of meeting customer needs in terms of cost, quality, on-time delivery, while being reactive to changing market forces. With 12 percent of the GDP represented by the manufacturing industry, the manufacturing operational improvements that will result from this EArly-concept Grant for Exploratory Research (EAGER) project have the potential to make a significant impact in the national bottom line. The aim of the PaaS platform is to enable distributed manufacturing plant locations to efficiently coordinate both within one plant location as well as across plant locations to realize a flexible service interface for supporting production management. The intellectual merit of this research lies in the extensions that will be created to the existing science and technology in service-oriented architectures to enable distributed production, while preserving proprietary information of the manufacturing systems. The key software abstraction that enables this innovation comes from the extension to the well-known APIs to capture the sophisticated query logic and diverse production requirements to meet user needs. Routing and scheduling decisions will be optimized by leveraging a global view of the current state of all of the components in the manufacturing facilities. To demonstrate scalability and ensure privacy guarantees across multiple facilities, hierarchical abstraction will be used to hide low-level details and proprietary information. The PaaS framework will transform the way manufacturing companies interact with the emerging high-value market; providing the architecture to drive innovation and enable small-, mid-, and large-scale manufacturing companies across the U.S. to compete for new product business on an even playing field.