Case study on delivery time determination using a machine learning approach in small batch production companies.
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| Title: | Case study on delivery time determination using a machine learning approach in small batch production companies. |
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| Authors: | Rokoss, Alexander1, alexander.rokoss@leuphana.de, Syberg, Marius2, Tomidei, Laura3, Hülsing, Christian1, Deuse, Jochen2,3, Schmidt, Matthias1 |
| Source: | Journal of Intelligent Manufacturing; Dec2024, Vol. 35 Issue 8, p3937-3958, 22p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 180970385 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180970385 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10845-023-02290-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 3937 Titles: – TitleFull: Case study on delivery time determination using a machine learning approach in small batch production companies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rokoss, Alexander – PersonEntity: Name: NameFull: Syberg, Marius – PersonEntity: Name: NameFull: Tomidei, Laura – PersonEntity: Name: NameFull: Hülsing, Christian – PersonEntity: Name: NameFull: Deuse, Jochen – PersonEntity: Name: NameFull: Schmidt, Matthias IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09565515 Numbering: – Type: volume Value: 35 – Type: issue Value: 8 Titles: – TitleFull: Journal of Intelligent Manufacturing Type: main |
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