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Intelligent Assembly Time Analysis Using a Digital Knowledge-Based Approach

机译:使用基于数字知识的方法进行智能装配时间分析

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The implementation of effective time analysis methods which are both fast and accurate, in the era of digital manufacturing, has become a significant challenge for manufacturers hoping to build and maintain a competitive advantage. This paper proposes a structure oriented, knowledge-based approach for intelligent time analysis for complex, engineering assembly processes within a digital manufacturing framework. The approach combines three important aspects: hierarchical object oriented structure, knowledge modeling, and implementation within a digital manufacturing framework. The hierarchical structure facilitates the capture of work breakdown structure, automated time analysis, and effective information management. Knowledge modeling enables the intelligent generation of manufacturing cycle times from design parameters. The implementation of a digital design and manufacturing platform with integrated time analysis capability through intuitive graphical user interfaces and configured functionalities, provides a truly collaborative methodology and concurrent engineering tool for productivity improvement. An exemplar study using an aircraft panel assembly from a regional jet is presented. Although the method currently focuses on aerospace assembly, it can also be applied to many other industry sectors including automotive, railway carriage, and large scale marine manufacturing. The main contribution of the work is to present a methodology that facilitates the integration of time analysis with product design and assembly process definition using a digital manufacturing solution.
机译:在数字制造时代,快速而准确的有效时间分析方法的实施,已成为希望建立并保持竞争优势的制造商面临的重大挑战。本文提出了一种面向结构的,基于知识的方法,用于在数字制造框架内对复杂的工程装配过程进行智能时间分析。该方法结合了三个重要方面:面向对象的分层结构,知识建模以及在数字制造框架内的实现。分层结构有助于捕获工作分解结构,自动时间分析和有效的信息管理。知识建模可以根据设计参数智能生成制造周期时间。通过直观的图形用户界面和已配置的功能,具有集成的时间分析功能的数字设计和制造平台的实施,为提高生产率提供了真正的协作方法和并行工程工具。提出了使用区域喷气式飞机的飞机面板组件进行的示例研究。尽管该方法当前集中于航空航天组装,但它也可以应用于许多其他行业,包括汽车,铁路运输和大规模船舶制造。这项工作的主要贡献是提出了一种方法,该方法有助于使用数字制造解决方案将时间分析与产品设计和组装过程定义相集成。

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    CEIAT, School of Mechanical and Aerospace Engineering, Queen's University of Belfast, Stranmillis Road, Belfast BT9 5AH, UK;

    rnAerospace Management and Operations, Delft University of Technology, 2629 HS Delft, The Netherlands;

    rnSchool of Mechanical and Aerospace Engineering, Queen's University of Belfast, Stranmillis Road, Belfast BT9 5AH UK;

    rnMethods Engineering, Bombardier Aerospace Belfast, Airport Road, Belfast BT3 9DZ, UK;

    rnMethods Engineering, Bombardier Aerospace Belfast, Airport Road, Belfast BT3 9DZ, UK;

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  • 入库时间 2022-08-17 13:14:23

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