Predictive models for rail-wagon detention in food grain logistics : a technological intervention
Nitish Vinod Sawant, Vinay V. Panicker, Anoop Kezhe Perumpadappu
| Year of publication: |
2020
|
|---|---|
| Authors: | Sawant, Nitish Vinod ; Panicker, Vinay V. ; Kezhe Perumpadappu, Anoop |
| Published in: |
International journal of value chain management : IJVCM. - Olney, Bucks. : Inderscience Enterprises, ISSN 1741-5365, ZDB-ID 2232972-9. - Vol. 11.2020, 3, p. 250-272
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| Subject: | food grain supply chain | machine learning algorithms | predictive analytics | random forest | logistic regression | business analytics | Lieferkette | Supply chain | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Logistik | Logistics | Algorithmus | Algorithm | Getreide | Grain | Regressionsanalyse | Regression analysis | Unternehmensanalyse | Business analysis |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJVCM.2020.109238 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012534826