Machine Learning Forecast-based Replenishment
Machine Learning Forecast-Based Replenishment is a replenishment methodology that leverages machine learning algorithms to generate demand forecasts and dynamically optimize inventory restocking decisions in response to predicted future demand patterns.
10
Publications
375
Citations
38
Authors
24
Institutions
Publications per year
2017–2026
7
10
Sunil Kumar Jauhar, Shashank Mayurkumar Jani, Sachin Kamble et al. · International Journal of Production Research · 2023 · 105 citations
Management, Operations Management, Supply Chain Management +15
Na Li, Donald M. Arnold, Douglas G. Down et al. · Transfusion · 2021 · 40 citations
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24
Madan Mohan Malaviya University of Technology
Gorakhpur, India
2 h-index
4 publications
88 citations
Lincoln University College
Petaling Jaya, Malaysia
1 h-index
1 publications
11 citations

Gujarat University
Ahmedabad, India
1 h-index
1 publications
105 citations

Banaras Hindu University
Varanasi, India
1 h-index
1 publications
105 citations

McMaster University
Hamilton, Canada
1 h-index
6 publications
240 citations
Rajasthan Technical University
Kota, India
1 h-index
4 publications
44 citations
National Technical University of Athens
Athens, Greece
1 h-index
1 publications
46 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
3 publications
93 citations
1–8 of 24
1 publications · 11 citations
1
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1 publications · 31 citations
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1 publications · 26 citations
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OR · 1 publications · 18 citations
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1 publications · 105 citations
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