Machine Learning versus Statistical Methods in Demand Planning for Energy-Efficient Supply Chains-Reference-Cited by-同舟云学术

Machine Learning versus Statistical Methods in Demand Planning for Energy-Efficient Supply Chains

Published:2020-06-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 3rd International Conference on Mathematics and Statistics
language:
Short-container-title:

Author:

Schreiber Lucas¹,Moroff Nikolas¹

Affiliation:

1. Fraunhofer Institute for Material Flow and Logistics, Joseph-von-Fraunhofer-Str. 2-4, Dortmund

Funder

German Bundesministerium für Wirtschaft und Energie

Publisher

ACM

Reference30 articles.

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3. Ravindran AR Warsing DP. Supply chain engineering: Models and applications. Boca Raton Fla.: CRC Press 2017. Ravindran AR Warsing DP. Supply chain engineering: Models and applications. Boca Raton Fla.: CRC Press 2017.

4. Makridakis S Spiliotis E Assimakopoulos V. Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLoS One 2018; 13(3) [https://doi.org/10.1371/journal.pone.0194889][PMID:29584784] Makridakis S Spiliotis E Assimakopoulos V. Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLoS One 2018; 13(3) [https://doi.org/10.1371/journal.pone.0194889][PMID:29584784]