Defining requirements for integrating information between design, manufacturing, and inspection.

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Title: Defining requirements for integrating information between design, manufacturing, and inspection.
Authors: Hedberg Jr., T. D.1,2 (AUTHOR) thedberg@umd.edu, Sharp, M. E.1 (AUTHOR), Maw, T. M. M.3 (AUTHOR), Helu, M. M.1 (AUTHOR), Rahman, M. M.3 (AUTHOR), Jadhav, S.3 (AUTHOR), Whicker, J. J.3 (AUTHOR), Barnard Feeney, A.1 (AUTHOR)
Source: International Journal of Production Research. Jun2022, Vol. 60 Issue 11, p3339-3359. 21p. 1 Color Photograph, 1 Diagram, 6 Charts, 8 Graphs.
Subjects: Information design, Engineering design, Research teams, Digital twin, Quality assurance, Inspection & review
Abstract: Industry desires a digital thread of information that aligns as-designed, as-planned, as-executed, and as-inspected viewpoints. An experiment was conducted to test selected open data standards' ability to integrate the lifecycle stages of engineering design, manufacturing, and quality assurance through a thorough implementation of a small-scale model-based enterprise. The research team set out to answer: from design, through production, and final inspections, what are the hurdles that a manufacturer would face during the development of a fully linked and integrated information chain? The research team was not able to fully link all the required information, but value for the industry was still identified. This paper presents the results of the experiment, provides guidance on how to overcome or mitigate identified challenges, and discusses the benefits or incentives to be gained from tracing or linking information through multiple stages a product lifecycle. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Defining requirements for integrating information between design, manufacturing, and inspection.
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  Data: <searchLink fieldCode="AR" term="%22Hedberg+Jr%2E%2C+T%2E+D%2E%22">Hedberg Jr., T. D.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> thedberg@umd.edu</i><br /><searchLink fieldCode="AR" term="%22Sharp%2C+M%2E+E%2E%22">Sharp, M. E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Maw%2C+T%2E+M%2E+M%2E%22">Maw, T. M. M.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Helu%2C+M%2E+M%2E%22">Helu, M. M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rahman%2C+M%2E+M%2E%22">Rahman, M. M.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jadhav%2C+S%2E%22">Jadhav, S.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Whicker%2C+J%2E+J%2E%22">Whicker, J. J.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barnard+Feeney%2C+A%2E%22">Barnard Feeney, A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jun2022, Vol. 60 Issue 11, p3339-3359. 21p. 1 Color Photograph, 1 Diagram, 6 Charts, 8 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Information+design%22">Information design</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+design%22">Engineering design</searchLink><br /><searchLink fieldCode="DE" term="%22Research+teams%22">Research teams</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+assurance%22">Quality assurance</searchLink><br /><searchLink fieldCode="DE" term="%22Inspection+%26+review%22">Inspection & review</searchLink>
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  Data: Industry desires a digital thread of information that aligns as-designed, as-planned, as-executed, and as-inspected viewpoints. An experiment was conducted to test selected open data standards' ability to integrate the lifecycle stages of engineering design, manufacturing, and quality assurance through a thorough implementation of a small-scale model-based enterprise. The research team set out to answer: from design, through production, and final inspections, what are the hurdles that a manufacturer would face during the development of a fully linked and integrated information chain? The research team was not able to fully link all the required information, but value for the industry was still identified. This paper presents the results of the experiment, provides guidance on how to overcome or mitigate identified challenges, and discusses the benefits or incentives to be gained from tracing or linking information through multiple stages a product lifecycle. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/00207543.2021.1920057
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        Text: English
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        PageCount: 21
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      – SubjectFull: Information design
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      – SubjectFull: Engineering design
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      – SubjectFull: Research teams
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      – SubjectFull: Digital twin
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      – SubjectFull: Quality assurance
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              Text: Jun2022
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