Inventory Demand Planning
Inventory Demand Planning is a systematic decision-support framework within inventory informatics that specifically integrates predictive analytics and operational constraints to determine optimal future inventory requirements, thereby distinguishing itself from broader supply chain planning methods by its focused application on inventory-level demand forecasting and replenishment strategy formulation.
24
Publications
1.2K
Citations
62
Authors
47
Institutions
Publications per year
2017–2026
7
Parents
24
1–5 of 24
62
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47
Intel (United States)
Santa Clara, United States
2 h-index
2 publications
49 citations
Tsinghua University
Beijing, China
2 h-index
4 publications
175 citations
Arizona State University
Tempe, United States
2 h-index
4 publications
152 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
104 citations
Department of Science and Technology
New Delhi, India
1 h-index
1 publications
129 citations

Kharazmi University
Tehran, Iran
1 h-index
3 publications
117 citations
Australian Red Cross Lifeblood
Sydney, Australia
1 h-index
1 publications
12 citations
Columbia University
New York, United States
1 h-index
1 publications
35 citations
1–8 of 47
3 publications · 209 citations
3
h-index
OR · 2 publications · 94 citations
2
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2 publications · 58 citations
2
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1 publications · 48 citations
1
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1 publications · 136 citations
1
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1–5