Factboard: Real-Time Data Driven Visual Decision Support System for the factory floor
| dc.contributor.author | Alameda Basora, Enrique | |
| dc.contributor.department | Department of Industrial and Manufacturing Systems Engineering | |
| dc.date | 2022-01-14T02:31:13.000 | |
| dc.date.accessioned | 2022-01-19T15:46:19Z | |
| dc.date.available | 2022-01-19T15:46:19Z | |
| dc.date.issued | 2017-04-11 | |
| dc.description.abstract | <p>Multiple logistics and quality issues are occurring on each assembly line daily. The lack of efficient and effective shop floor communication creates an environment where these problems occur and take longer than necessary to resolve. Although Enterprise Resource Planning (ERP) systems react to these types of problems, they do not react in a time-sensitive manner. Because of this, companies find themselves struggling to keep up with what is happening on the manufacturing floor. Iowa State University has partnered with John Deere, Boeing, Pro-planner and Factory Right to create a decision support system software that will help react or avoid to part quality shortages and other issues within the manufacturing floor immediately.</p> | |
| dc.identifier | archive/lib.dr.iastate.edu/undergradresearch_symposium/2017/presentations/59/ | |
| dc.identifier.articleid | 1239 | |
| dc.identifier.contextkey | 10452770 | |
| dc.identifier.s3bucket | isulib-bepress-aws-west | |
| dc.identifier.submissionpath | undergradresearch_symposium/2017/presentations/59 | |
| dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/EzR2EWYz | |
| dc.relation.ispartofseries | Symposium on Undergraduate Research and Creative Expression | |
| dc.subject.disciplines | Industrial Engineering | |
| dc.title | Factboard: Real-Time Data Driven Visual Decision Support System for the factory floor | |
| dc.type | event | |
| dc.type.genre | event | |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1 | |
| relation.isSeriesOfPublication | 6730f354-97b8-4408-bad3-7e5c3b2fca9d | |
| thesis.degree.discipline | Industrial Engineering |