Publicação: Introductory Chapter: How to Use Design of Experiments Methodology to Get Most from Chemical Processes
| dc.contributor.author | Silva, Valter | |
| dc.contributor.author | Eusébio, Daniela | |
| dc.contributor.author | Cardoso, João | |
| dc.date.accessioned | 2019-02-22T14:30:43Z | PT |
| dc.date.available | 2019-02-22T14:30:43Z | PT |
| dc.date.issued | 2018 | PT |
| dc.description.abstract | Economic pressure and the need to target more competitive levels drive organizations to invest in efficient methodologies to get solutions able to provide clear advantages in a very demanding market. In this scenario, statistical approaches emerge as valuable tools to be used in the chemical process industry. Indeed, the chemical industry uses a wide set of statistical methodologies, ranging from descriptive approaches to complex optimization topics such as Design of Experiments (DoE), always targeting safer, more repeatable and profitable solutions. | pt_PT |
| dc.description.sponsorship | IF/01772/ 2014 | |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | http://dx.doi.org/10.5772/intechopen.74061 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.26/27945 | PT |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.title | Introductory Chapter: How to Use Design of Experiments Methodology to Get Most from Chemical Processes | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | b3fca58a-1843-4d3f-bb88-0ad75e05e9ee | |
| relation.isAuthorOfPublication | b879ae4c-4704-4df1-97a6-63c6a2063a19 | |
| relation.isAuthorOfPublication | 9f88d65a-6ea7-410f-ab62-9e9903a6d0cb | |
| relation.isAuthorOfPublication.latestForDiscovery | b3fca58a-1843-4d3f-bb88-0ad75e05e9ee |
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