Minimax Analysis for Finite-horizon Inventory Models
By Guillermo Gallego, Jennifer K. Ryan, David Simchi-Levi. 2001
53 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/7e95b70f59403c8dc86f541bdd46c7ee4ef2f2cb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Aurélie C. Thiele
- Dimitris J. Bertsimas
- Weijun Xie
- Aharon Ben-Tal
- Arkadi Nemirovski
- Melvyn Sim
- Marina A. Epelman
- Tara L. Terry
In Management Information Systems
- Dimitris J. Bertsimas
- Aurélie C. Thiele
- Zhi Chen
- Weijun Xie
- Arkadi Nemirovski
- Aharon Ben-Tal
- Marina A. Epelman
- Tara L. Terry
Citations in the corpus
- Production, Manufacturing and LogisticsConfidence-based optimisation for the newsvendor problem under binomial, Poisson and exponential demand (2014, unknown): “Bayesian approaches under fully observed demand were proposed in Scarf [1959, 1960], Iglehart [1964], Azoury [1985], Lovejoy [1990], Bradford and Sugrue [1990], Hill [1997], Eppen and Iyer [1997], Hill [1999], Lee [2008], Bensoussan et al.”
- Regret in the Newsvendor Model with Demand and Yield Randomness (2021, background): “…order quantity when only the mean and variance of the random demand are specified, and a substantial amount of efforts has extended applications of the maximin criterion to more complex inventory models (see e.g., Gallego 1998, Gallego et al. 2001, Hanasusanto et al. 2015, Natarajan et al. 2018).”
- A Robust Optimization Approach to Inventory Theory (2006, methodology): “Similar ideas were applied to finitehorizon inventory models by Gallego et al. (2001) , under the assumption that demand is a discrete random variable taking values in a known countable set.”