Publication
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 | |
| person.familyName | Silva | |
| person.familyName | Eusébio | |
| person.familyName | Dantas de Almeida Cardoso | |
| person.givenName | Valter | |
| person.givenName | Daniela | |
| person.givenName | João Abel | |
| person.identifier.ciencia-id | 831F-BA53-748E | |
| person.identifier.ciencia-id | A51D-B757-15BC | |
| person.identifier.ciencia-id | BA19-3CCD-5452 | |
| person.identifier.orcid | 0000-0003-2846-5785 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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