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Towards an Ontology for Small Series Production

机译:面向小批量生产的本体

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摘要

We describe the derivation of ontology to capture knowledge regarding small series manufacturing. This work is motivated by use-cases ranging from the assembly of large aircraft built from about 6 million parts to the production of galley inserts, both plagued by problems for arising from the same interplay between product and production engineering. During ramp-up stages of such production, there are challenges of innovative technologies, high quality and safety standards or the structural complexity of products which frequently cause supply-chain problems or require revisions of the designs that result in significant financial losses. These conditions differ significantly from standard production scenarios. Based on a detailed domain analysis, we identify five requirements for the type of knowledge to be captured in ontology, and then proceed to propose a first version of such an ontology addressing these requirements, thus providing an appropriate semantic base for intelligent, associative tools that can effectively support ramp-up management.
机译:我们描述了本体的派生,以捕获有关小批量制造的知识。这项工作的动机是用例,从组装约600万个零件的大型飞机的组装到厨房嵌件的生产,都受到产品和生产工程之间相互影响的问题的困扰。在此类生产的提升阶段,将面临创新技术,高质量和安全标准或产品结构复杂性的挑战,这些挑战通常会导致供应链问题或需要修改设计,从而导致重大的财务损失。这些条件与标准生产方案有很大不同。在详细的领域分析的基础上,我们确定了要在本体中捕获的知识类型的五个要求,然后着手提出满足这些要求的此类本体的第一个版本,从而为智能关联工具提供了适当的语义基础,可以有效地支持加速管理。

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