Confidence-based optimisation for the newsvendor problem under binomial, Poisson and exponential demand
نویسندگان
چکیده
منابع مشابه
Confidence-based optimisation for the newsvendor problem under binomial, Poisson and exponential demand
We introduce a novel strategy to address the issue of demand estimation in single-item single-period stochastic inventory optimisation problems. Our strategy analytically combines confidence interval analysis and inventory optimisation. We assume that the decision maker is given a set of past demand samples and we employ confidence interval analysis in order to identify a range of candidate ord...
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We introduce a novel strategy to address the issue of demand estimation in single-item single-period stochastic inventory optimisation problems. Our strategy analytically combines confidence interval analysis and inventory optimisation. We assume that the decision maker is given a set of past demand samples and we employ confidence interval analysis in order to identify a range of candidate ord...
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We study the dynamic newsvendor problem with censored demand for both perishable and storable inventory models. We focus on the cases when demand is represented by a member of the newsvendor family of distributions. We show that the Weibull density is the only member of newsvendor distributions for which the optimal solution can be expressed in scalable form. Consequently, scalability yields su...
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Three estimation policies for the optimal order quantity of the classical newsvendor model under exponential demand are evaluated in the current paper. According to the principle of the first estimation policy, the corresponding estimator is obtained replacing in the theoretical formula which gives the optimal order quantity the parameter of exponential distribution with its maximum likelihood ...
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So far many confidence intervals were introduced for the binomial proportion. In this paper, our purpose is comparing five well known based on their exact confidence coefficient and average coverage probability.
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ژورنال
عنوان ژورنال: European Journal of Operational Research
سال: 2014
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2014.06.007