Citation link:
https://doi.org/10.26092/elib/532
Big Data Analytics for controlling supply chain performance
| File | Description | Size | Format | |
|---|---|---|---|---|
| PLIV-M-Paper 02.pdf | 1.4 MB | Adobe PDF | View/Open |
| Authors: | Warnke, Phillip Riemer, Torben |
Editors: | Bhardwaj, Debarshee  |
Publisher: | Professur für Global Supply Chain Management | Abstract: | Congestion delay produces logistical consequences for the supply chain performance for stored goods. A delayed delivery produces disruption at the next level in the supply chain. To deal with this problem, the study demonstrate the use of Google data, in particular Google Maps data of text-based data sources, which can contribute to the expanse of existing solution approaches based on google maps |
Keywords: | traffic congestion; logistics disruption; big data analytics; predictive analytics | Issue Date: | 12-Apr-2021 | Journal/Edited collection: | Publication series of professorship for global supply chain management | Type: | Bericht, Report | Secondary publication: | no | DOI: | 10.26092/elib/532 | URN: | urn:nbn:de:gbv:46-elib47350 | Institution: | Universität Bremen | Faculty: | Fachbereich 07: Wirtschaftswissenschaft (FB 07) |
| Appears in Collections: | Forschungsdokumente |
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