1990
DOI: 10.2307/2583816
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A Bayesian Approach to the Two-Period Style-Goods Inventory Problem with Single Replenishment and Heterogeneous Poisson Demands

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Cited by 7 publications
(7 citation statements)
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“…There are mainly three research lines along with this research stream. The first is to explore inventory models under stochastic demands with the Bayesian approach (see, e.g., Bradford and Sugrue 1990, Lovejoy 1990, Spedding and Chan 2000. Lovejoy (1990) developed two myopic policies for inventory management under uncertain demand distributions by applying the exponential smooth and Bayesian models.…”
Section: Literature Reviewmentioning
confidence: 99%
“…There are mainly three research lines along with this research stream. The first is to explore inventory models under stochastic demands with the Bayesian approach (see, e.g., Bradford and Sugrue 1990, Lovejoy 1990, Spedding and Chan 2000. Lovejoy (1990) developed two myopic policies for inventory management under uncertain demand distributions by applying the exponential smooth and Bayesian models.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is important to note that Miller (1986) and Lovejoy (1990) examined demand uncertainty in the context of forecast updating. Bradford and Sugrue (1990) and Eppen and Iyer (1992) introduced the decision to produce several products in this context of demand uncertainty. In a very early work Hausman and Peterson (1972) considered the decision-theoretic problem of (demand) forecast updating in the presence of capacity constraints.…”
Section: Market Experimentationmentioning
confidence: 99%
“…Bradford and Sugrue (1990) study a two-period model in which a group of items have heterogeneous Poisson demands; for each item the parameter of the Poisson distribution is distributed according to a gamma distribution, resulting in a negative binomial distribution for the aggregate demand. An improved solution procedure for the problem discussed in Bradford and Sugrue (1990) is given by Lau and Lau (1999). Fisher and Raman (1996) look into the production commitment decisions of a manufacturer.…”
Section: Literature Reviewmentioning
confidence: 99%