Data science for supply chain forecast:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
Nicolas Vandeput
2018
|
Ausgabe: | 1st edition |
Schlagworte: | |
Beschreibung: | Literaturverzeichnis: Seite 217-220 |
Beschreibung: | xiv, 223 Seiten Diagramme |
ISBN: | 9781730969430 |
Internformat
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999 | |a oai:aleph.bib-bvb.de:BVB01-030889386 |
Datensatz im Suchindex
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any_adam_object | |
author | Vandeput, Nicolas |
author_facet | Vandeput, Nicolas |
author_role | aut |
author_sort | Vandeput, Nicolas |
author_variant | n v nv |
building | Verbundindex |
bvnumber | BV045504761 |
classification_rvk | QP 530 |
ctrlnum | (OCoLC)1091664554 (DE-599)BVBBV045504761 |
discipline | Wirtschaftswissenschaften |
edition | 1st edition |
format | Book |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T08:19:57Z |
institution | BVB |
isbn | 9781730969430 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030889386 |
oclc_num | 1091664554 |
open_access_boolean | |
owner | DE-M347 |
owner_facet | DE-M347 |
physical | xiv, 223 Seiten Diagramme |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Nicolas Vandeput |
record_format | marc |
spelling | Vandeput, Nicolas Verfasser aut Data science for supply chain forecast 1st edition [Erscheinungsort nicht ermittelbar] Nicolas Vandeput 2018 xiv, 223 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Literaturverzeichnis: Seite 217-220 Supply Chain Management (DE-588)4684051-5 gnd rswk-swf Prognoseverfahren (DE-588)4358095-6 gnd rswk-swf Supply Chain Management (DE-588)4684051-5 s Prognoseverfahren (DE-588)4358095-6 s DE-604 |
spellingShingle | Vandeput, Nicolas Data science for supply chain forecast Supply Chain Management (DE-588)4684051-5 gnd Prognoseverfahren (DE-588)4358095-6 gnd |
subject_GND | (DE-588)4684051-5 (DE-588)4358095-6 |
title | Data science for supply chain forecast |
title_auth | Data science for supply chain forecast |
title_exact_search | Data science for supply chain forecast |
title_full | Data science for supply chain forecast |
title_fullStr | Data science for supply chain forecast |
title_full_unstemmed | Data science for supply chain forecast |
title_short | Data science for supply chain forecast |
title_sort | data science for supply chain forecast |
topic | Supply Chain Management (DE-588)4684051-5 gnd Prognoseverfahren (DE-588)4358095-6 gnd |
topic_facet | Supply Chain Management Prognoseverfahren |
work_keys_str_mv | AT vandeputnicolas datascienceforsupplychainforecast |