Geometric Analysis to Automate Design for Supply Chain

dc.contributor.author Dorneich, Michael
dc.contributor.author Hoefer, Michael
dc.contributor.author Frank, Matthew
dc.contributor.author Dorneich, Michael
dc.contributor.author Frank, Matthew
dc.contributor.department Aerospace Engineering
dc.contributor.department Virtual Reality Applications Center
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.contributor.department Virtual Reality Applications Center
dc.date 2019-12-17T20:33:57.000
dc.date.accessioned 2020-06-30T04:46:45Z
dc.date.available 2020-06-30T04:46:45Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2017
dc.date.issued 2017-01-01
dc.description.abstract <p>This paper presents a method for using geometric algorithms to characterize CAD models for the purpose of automated design for supply chain. Improvements in computing allow for fast manufacturability analysis of the 3D geometry found in CAD files. For example, designers can determine the percentage of a 3D model that can be machined, or how many cores would be required to produce a sand casting of the model. Traditionally, this kind of information has been used for process planning or reducing cost via design for manufacture. However, market pressures and product complexity cause firms to outsource fabrication to external suppliers. It is therefore necessary to understand how early design decisions will impact the sourceability of a design, which encompasses cost, quality, and lead time in the supply chain. The goal of this research is to use geometric characterizations and production requirements of a conceptual design to automatically predict sourceability, and provide feedback that enables proactive design changes. This paper works toward this goal by providing a correlation analysis of geometry-based metrics of models classified by manufacturing process.</p>
dc.description.comments <p>This proceeding is published as Hoefer, Michael, Matthew Frank, and Michael Dorneich. "Geometric Analysis to Automate Design for Supply Chain." In <em>IISE Annual Conference and Expo 2017</em>, pp. 866-871. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/imse_conf/191/
dc.identifier.articleid 1193
dc.identifier.contextkey 15666344
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath imse_conf/191
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/44268
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/imse_conf/191/0-2017_IISE_PermGrant.pdf|||Fri Jan 14 21:52:36 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/imse_conf/191/2017_DorneichMichael_GeometricAnalysis.pdf|||Fri Jan 14 21:52:37 UTC 2022
dc.subject.disciplines Operations Research, Systems Engineering and Industrial Engineering
dc.subject.keywords Design for supply chain
dc.subject.keywords geometric analysis
dc.subject.keywords manufacturability
dc.subject.keywords concurrent engineering
dc.subject.keywords sourceability
dc.title Geometric Analysis to Automate Design for Supply Chain
dc.type article
dc.type.genre conference
dspace.entity.type Publication
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