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111
The Censored Newsvendor and the Optimal Acquisition of Information
 Operations Research
, 1998
"... This paper investigates the effect of demand censoring on the optimal policy in newsvendor inventory models with general parametric demand distributions and unknown parameter values. We show that the newsvendor problem with observable lost sales reduces to a sequence of singleperiod problems while ..."
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Cited by 33 (3 self)
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This paper investigates the effect of demand censoring on the optimal policy in newsvendor inventory models with general parametric demand distributions and unknown parameter values. We show that the newsvendor problem with observable lost sales reduces to a sequence of singleperiod problems while
Censored Newsvendor Model Revisited with Unnormalized Probabilities. Working paper
, 2006
"... Abstract. This paper revisits the model of the censored newsvendor presented by Ding, Puterman and Bisi [8]. We analyze that model in an infinitehorizon context by using the interesting concept of unnormalized probabilities. The unnormalized probabilities considerably simplify the dynamic program ..."
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Cited by 1 (0 self)
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Abstract. This paper revisits the model of the censored newsvendor presented by Ding, Puterman and Bisi [8]. We analyze that model in an infinitehorizon context by using the interesting concept of unnormalized probabilities. The unnormalized probabilities considerably simplify the dynamic program
On the price of demand censoring in the newsvendor problem
, 2010
"... We consider a repeated newsvendor problem where the decisionmaker (DM) does not have access to the underlying distribution of discrete demand. We analyze three informational settings: 푖.) the DM observes realized demand in each period; 푖푖.) the DM only observes realized sales; and 푖푖푖.) the DM obs ..."
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Cited by 1 (0 self)
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We consider a repeated newsvendor problem where the decisionmaker (DM) does not have access to the underlying distribution of discrete demand. We analyze three informational settings: 푖.) the DM observes realized demand in each period; 푖푖.) the DM only observes realized sales; and 푖푖푖.) the DM
The Bayesian Newsvendors in Supply Chains with Unobserved Lost
, 2004
"... We consider two−echelon supply chains with one supplier and two retailers. Retailers are censored newsvendors facing general parametric demand distributions involving unknown parameters. Using a Bayesian MDP formulation, we investigate how the supplier can make use of the combined information gather ..."
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We consider two−echelon supply chains with one supplier and two retailers. Retailers are censored newsvendors facing general parametric demand distributions involving unknown parameters. Using a Bayesian MDP formulation, we investigate how the supplier can make use of the combined information
An adaptive, distributionfree algorithm for the newsvendor problem with censored demands, with application to inventory and distribution
, 2001
"... We consider the problem of optimizing inventories for problems where the demand distribution is unknown, and where it does not necessarily follow a standard form such as the normal.We address problems where the process of deciding the inventory, and then realizing the demand, occurs repeatedly.The o ..."
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Cited by 22 (1 self)
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gradient methods and more flexible than analytical techniques that require distribution information.In addition, we demonstrate nearoptimal behavior of the CAVE approximation in experiments involving two different types of stochastic programs— the newsvendor stochastic inventory problem and twostage distribution
Optimal learning policies for the newsvendor problem with censored demand and unobservable lost sales. in preparation
, 2008
"... In this paper, we consider a version of the newsvendor problem in which the demand for newspapers is unknown and the lost sales are unobservable. This problem serves as a surrogate for more complex supply chain problems in which learning plays a role. We propose the knowledge gradient (KG) policy, w ..."
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Cited by 2 (1 self)
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In this paper, we consider a version of the newsvendor problem in which the demand for newspapers is unknown and the lost sales are unobservable. This problem serves as a surrogate for more complex supply chain problems in which learning plays a role. We propose the knowledge gradient (KG) policy
Censored Exploration and the . . .
"... We introduce and analyze a natural algorithm for multivenue exploration from censored data, which is motivated by the DarkPool Problem of modern quantitative finance. We prove that our algorithm converges inpolynomial time to a nearoptimal allocation policy; prior results for similar problems i ..."
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We introduce and analyze a natural algorithm for multivenue exploration from censored data, which is motivated by the DarkPool Problem of modern quantitative finance. We prove that our algorithm converges inpolynomial time to a nearoptimal allocation policy; prior results for similar prob
Observation bias: The impact
, 2009
"... of demand censoring on newsvendor level and adjustment behavior ..."
Cognition and Individual Differences in the Newsvendor Problem: Behavior Under Dual Process Theory
, 2009
"... Previous research has shown that individuals systematically and persistently deviate from the profit maximizing quantity when solving a newsvendor problem. This research posits that Dual Process Theory provides an underlying cognitive explanation for why individuals deviate from optimality. More spe ..."
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Cited by 1 (0 self)
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Previous research has shown that individuals systematically and persistently deviate from the profit maximizing quantity when solving a newsvendor problem. This research posits that Dual Process Theory provides an underlying cognitive explanation for why individuals deviate from optimality. More
Results 1  10
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111