Random Demand Models is a class of inventory control models that belong to stochastic demand forecasting frameworks, distinguished by their explicit incorporation of probabilistic demand distributions to optimize inventory decisions under uncertainty.
248
Publications
13.3K
Citations
477
Authors
270
Institutions
Publications per year
2017–2026
45
Parents
Publications
248
Steven A. Lippman, Kevin F. McCardle · Operations Research · 1997 · 431 citations
Inventory Control in a Fluctuating Demand Environment
Jing-Sheng Song, Paul Zipkin · Operations Research · 1993 · 382 citations
1–5 of 248
Authors
477
- GS
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- DC
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1–5 of 477
Institutions
270
Cornell University
Ithaca, United States
7 h-index
13 publications
425 citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
11 publications
525 citations
New York University
New York, United States
6 h-index
7 publications
291 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
6 publications
453 citations
University of Wisconsin–Madison
Madison, United States
6 h-index
6 publications
279 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
5 h-index
12 publications
920 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
7 publications
1.5K citations
Stanford University
Stanford, United States
5 h-index
5 publications
209 citations
1–8 of 270
Venues
- Management Science
16 publications · 1.4K citations
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- Operations Research
18 publications · 1.9K citations
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- European Journal of Operational Research
12 publications · 534 citations
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- IIE Transactions
12 publications · 884 citations
12
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- Manufacturing & Service Operations Management
12 publications · 732 citations
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