Workshop on Open Questions Towards The Success of INDUSTRY 4.0; Prague, Czech Republic; June 17-19, 2020

关于工业 4.0 成功的开放问题研讨会；

• 批准号: 1953500
• 负责人: Ruzena Bajcsy
• 金额: $ 4.98万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-03-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1953500&HistoricalAwards=false
• 关键词: Workshop; Open; Questions; Towards; Success

This award supports a workshop on open questions towards the success of Industry 4.0, to be held in Prague, Czech Republic on June 17-19, 2020. The three-day workshop will bring together key thought leaders from industry, academia and government from the USA, Germany, and the Czech and Slovak Republics to identify both open problems with and opportunities to advance the program of Industry 4.0. In particular, the workshop will concentrate on defining the requirements for creating an open source of parts and components that are widely produced and used in a variety of industries. This is in realization of the fact that new AI techniques cannot be broadly applied in the manufacturing environment unless an efficient data repository and the associated abstractions of the component models and their compositions are created.Formal models representing the capabilities of various manufacturing machines and processes will enable manufacturers to match design models with manufacturing processes and to automatically update essential characteristics of design models from 'as designed' to 'as manufactured,' thereby improving the effectiveness of both product design and manufacturing by enabling a fully integrated treatment of design and manufacturing. This allows manufacturing considerations to be brought forward into the design process by characterizing designs from the point of view of manufacturability. The framework that the realization of this possibility requires can only be achieved through the collaborative efforts of researchers in manufacturing, computer science and engineering, and artificial intelligence. The workshop will bring such experts together to discuss: (1) formalisms for part representation, (2) methods for search, optimization, logistics and planning, and (3) model selection and data access.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.

该奖项支持将于2020年6月17日至19日在捷克共和国布拉格举行的关于工业4.0成功的开放问题研讨会。 为期三天的研讨会将汇集来自美国，德国以及捷克和斯洛伐克共和国的工业界，学术界和政府的主要思想领袖，以确定推进工业4.0计划的开放问题和机会。特别是，研讨会将集中于定义创建广泛生产和用于各种行业的零部件开源的要求。这是因为新的人工智能技术不能广泛应用于制造环境，除非建立一个有效的数据库和相关的组件模型及其组成的抽象。表示各种制造机器和过程的能力的形式化模型将使制造商能够将设计模型与制造过程相匹配，并自动更新设计模型的基本特征从“按设计”到“按制造”，从而通过实现设计和制造的完全集成处理来提高产品设计和制造的有效性。这使得制造考虑因素被带到设计过程中，从可制造性的角度来表征设计。 实现这种可能性所需的框架只能通过制造业，计算机科学和工程以及人工智能研究人员的合作努力来实现。 该研讨会将汇集这些专家讨论：（1）零件表示的形式，（2）搜索、优化、物流和规划的方法，以及（3）模型选择和数据访问。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。