Agent-Based Manufacturing Systems

9622779赖特：该合同为创建基于代理的制造系统提供资金。关键特点是制造软件“代理”将被创建，以提高精度和生产速度。今天，互联网上有大量用于工程设计、分析、规划和制造的软件包。然而，它们存在于异构的分布式系统中，通常与单个设计者没有良好的特征链接。例如，当单个设计人员在另一个商业CAD系统上工作时，可能会为一个商业CAD系统配置这样的远程服务。或者，服务可能是设计人员希望“查询和获取有关信息”的专门制造设施。第一个研究任务将为这些服务创建一个标准的“包装器”，使用通用语言、表示和互连。第二个任务将创建一个协作环境，以便将所有的观点都带入设计中。第三个任务将创建满足权衡和解决冲突的方法。如果成功，这项研究将使美国制造商能够以低成本生产，同时解决尺寸、形状、表面光洁度和零件完整性方面的严格限制。例如，伯克利大学之前的研究创建了一个集成的CAD/CAM系统，用于生产消费电子行业使用的注塑模具。在“基于代理的制造”中，一个代理将建议如何在注塑模具内获得最佳表面光洁度，另一个代理将补偿模具挠度，从而制造更精确的组件。智能体将提取目前分布在互联网上的知识，并将其整合到设计和规划中。这将避免制造过程中的歧义和错误，从而提高生产。

9622779 Wright This award provides funding to create Agent-Based Manufacturing Systems. The key feature is that manufacturing software "agents" will be created to enhance precision and production speed. Today, a vast number of software packages for engineering design, analysis, planning and fabrication are available on the Internet. However, they exist in a heterogeneous distributed system, usually with no well-characterized link to an individual designer. For example, such remote services might be configured for one commercial CAD system while the individual designer is working on another. Or, the service might be a specialized manufacturing facility, that the designer would like to "query and get information about". The first research task will create a standard "wrapper" for such services, employing common languages, representations and interconnections. The second task will create a collaborative environment so that all points-of-view are brought into the design. The third task will create methods to satisfy trade-offs and resolve conflicts. If successful, this research will enable US manufacturers to produce at low cost while addressing the stringent constraints on dimension, form, surface finish and part integrity. As one example, previous research at Berkeley created an integrated CAD/CAM system for the production of injection molds used in the consumer electronics industry. With "agent-based manufacturing", one agent will advise on how to obtain the best surface finish inside the injection molds, and another agent will compensate for tooling deflections, thus creating more accurate components. Agents will extract the knowledge that is now distributed on the Internet and incorporate it into design and planning. This will avoid ambiguities and mistakes during manufacturing, thus improving production.