Training methods for visual inspection tasks

dc.contributor.advisor Richard T. Stone
dc.contributor.advisor Frank E. Peters Clemons, Alexander
dc.contributor.department Industrial and Manufacturing Systems Engineering 2018-08-11T16:03:06.000 2020-06-30T02:46:41Z 2020-06-30T02:46:41Z Tue Jan 01 00:00:00 UTC 2013 2015-07-30 2013-01-01
dc.description.abstract <p>The visual inspection process in the casting industry is a subjective task. Inspectors are often required to make absolute judgments when deciding to classify a casting as acceptable or in need of re-work. Due to this subjectivity, castings can be incorrectly classified as acceptable or scheduled for unnecessary re-work, leading to longer production times or higher costs. It is of interest for both manufacturers and customers of the casting industry to improve the visual inspection process. This research was performed with the goal of using an inspection strategy based on rastering to improve the success of a visual inspection task. Paper and video training methods were used to present a rastering strategy to each participant. The results indicate that video assisted rastering training produced superior results when compared to basic rastering training.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 4012
dc.identifier.contextkey 4250638
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/13005
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 19:42:20 UTC 2022
dc.subject.disciplines Engineering
dc.subject.disciplines Industrial Engineering
dc.subject.disciplines Instructional Media Design
dc.subject.keywords Metal Casting
dc.subject.keywords Search Strategies
dc.subject.keywords Search Training
dc.subject.keywords Training Efficacy
dc.subject.keywords Training Methods
dc.subject.keywords Visual Inspection
dc.title Training methods for visual inspection tasks
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1 thesis Master of Science
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