Intelligent Assembly Time Analysis Using a Digital Knowledge-Based Approach

Jin, Yan; Curran, Ricky; Butterfield, Joseph; Burke, Robert; Welch, Brian

doi:10.2514/1.41231

Cited by 6 publications

(5 citation statements)

References 17 publications

(25 reference statements)

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“…The existing functionality of building up a process network for each level is utilised directly in this work. For more details on time analysis, please refer to (Jin et al 2009a).…”

Section: Applicationmentioning

confidence: 99%

“…Various knowledge rules have been developed based on shop floor observations and engineers' interviews, please refer to (Jin et al 2009a) for more details. All these knowledge rules are stored in the knowledge base, and the inference engine can be triggered by the corresponding object behaviours as shown in Figure 4.…”

Section: Knowledge Modellingmentioning

confidence: 99%

“…Many research efforts have been put to bring manufacturing knowledge into design domain at the early design stage. Latest research shows that some Design for Manufacture and Assembly (DFMA) tools, which facilitate to make design decisions for manufacturing and assembly, have been developed (Zha et al 2001, Boothroyd et al 2002, Curran et al 2005, 2007a, Jin et al 2008, 2009a. But almost all of them are only pieces of the simulation or function modules, which have not been effectively integrated into a comprehensive digital manufacturing environment that covers the whole product life cycle.…”

Section: Introductionmentioning

confidence: 98%

“…One results from the assembly time costing and another from parts manufacturing cost. A structure oriented method, supported by an expert system and standard time library, has been proposed for automated time analysis in our previous article (Jin et al 2009a). This article will provide general guidelines for function developments and integration methodology with a digital manufacturing platform.…”

Section: Introductionmentioning

confidence: 98%

See 3 more Smart Citations

An integration methodology for automated recurring cost prediction using digital manufacturing technology

Jin

Curran

Burke

et al. 2012

International Journal of Computer Integrated Manufacturing

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The need to account for the effect of design decisions on manufacture and the impact of manufacturing cost on the life cycle cost of any product are well established. In this context, digital design and manufacturing solutions have to be further developed to facilitate and automate the integration of cost as one of the major driver in the product life cycle management. This article is to present an integration methodology for implementing cost estimation capability within a digital manufacturing environment. A digital manufacturing structure of knowledge databases are set out and the ontology of assembly and part costing that is consistent with the structure is provided. Although the methodology is currently used for recurring cost prediction, it can be well applied to other functional developments, such as process planning. A prototype tool is developed to integrate both assembly time cost and parts manufacturing costs within the same digital environment. An industrial example is used to validate this approach.

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“…The existing functionality of building up a process network for each level is utilised directly in this work. For more details on time analysis, please refer to (Jin et al 2009a).…”

Section: Applicationmentioning

confidence: 99%

Section: Knowledge Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

An integration methodology for automated recurring cost prediction using digital manufacturing technology

Jin

Curran

Burke

et al. 2012

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

show abstract

“…Airbus has shortened the product development cycle from 4 years to 2.5 years through the implementation of digital design and manufacturing technology in the aircraft development process. MBD technology is adopted throughout the entire aircraft production process, reflecting the idea of designing products for manufacturing and assembly [6] . The virtual assembly process design system VADE, developed by the VRCM laboratory at Washington State University and the National Institute of Standards and Technology (NIST) in the United States, achieves information conversion from CAD systems to assembly systems and constraint based assembly simulation [7] .…”

Section: Introductionmentioning

confidence: 99%

Research on digital assembly technology of spacecraft based on model and bill of materials

Zhang,

Zhou,

2024

Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023)

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The digital final assembly of spacecraft uses the three-dimensional model and bill of materials of the spacecraft assembly as the core carrier for design information transmission. The design intent and design parameters are intuitively and structurally reflected in the three-dimensional model and bill of materials. The three-dimensional model is used to directly guide the on-site production work of the spacecraft assembly, while also controlling the technical status. The digital assembly practice of a certain satellite has shown that the digital assembly of spacecraft has overcome the shortcomings of low efficiency, serial operation, and information dispersion in traditional modes, achieving parallelism, collaboration, and integration. The efficiency and quality of design and implementation have been significantly improved.

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Modeling and digital tool development of a new similarity metric for aerospace production

Jin

Abella

Ares

et al. 2013

Int J Adv Manuf Technol

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Intelligent Assembly Time Analysis Using a Digital Knowledge-Based Approach

Cited by 6 publications

References 17 publications

An integration methodology for automated recurring cost prediction using digital manufacturing technology

An integration methodology for automated recurring cost prediction using digital manufacturing technology

Research on digital assembly technology of spacecraft based on model and bill of materials

Modeling and digital tool development of a new similarity metric for aerospace production

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