Multivariate Demand Modeling
Multivariate Demand Modeling is a statistical modeling framework that distinguishes itself by simultaneously analyzing multiple interdependent variables—such as price, promotions, seasonality, and external market factors—to capture complex demand dynamics and improve forecasting accuracy in supply chain and operations management.
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2.6K
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116
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2017–2026
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Shaohui Ma, Robert Fildes, Tao Huang · European Journal of Operational Research · 2015 · 174 citations · Full text
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International Monetary Fund
Washington D.C., United States
2 h-index
2 publications
67 citations

The University of Western Australia
Perth, Australia
2 h-index
5 publications
791 citations

Chien Hsin University of Science and Technology
Taoyuan City, Taiwan
2 h-index
3 publications
204 citations
Social Service Sericulture Project Trust
Dindigul, India
2 h-index
4 publications
46 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
4 publications
72 citations

Federico Santa María Technical University
Valparaíso, Chile
1 h-index
1 publications
12 citations

University of Rochester
Rochester, United States
1 h-index
1 publications
261 citations
National Chin-Yi University of Technology
Taichung, Taiwan
1 h-index
1 publications
11 citations
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Repository · 2 publications · 42 citations
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2 publications · 316 citations
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2 publications · 318 citations
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2 publications · 75 citations
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2 publications · 265 citations
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