Applying deep learning to the newsvendor problem
نویسندگان
چکیده
منابع مشابه
Applying Deep Learning to the Newsvendor Problem
The newsvendor problem is one of the most basic and widely applied inventory models. There are numerous extensions of this problem. One important extension is the multi-item newsvendor problem, in which the demand of each item may be correlated with that of other items. If the joint probability distribution of the demand is known, the problem can be solved analytically. However, approximating t...
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In retailer management, the Newsvendor problem has widely attracted attention as one of basic inventory models. In the traditional approach to solving this problem, it relies on the probability distribution of the demand. In theory, if the probability distribution is known, the problem can be considered as fully solved. However, in any real world scenario, it is almost impossible to even approx...
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Short abstract Past experimental studies of decision-making in the context of the Newsvendor problem unanimously find that the decision-makers tend to make suboptimal decisions and, unless special measures are taken to induce “in-task” learning, fail to improve quality of their decisions over time. However, most of these past studies dealt with individual decision-makers. In the present study w...
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ژورنال
عنوان ژورنال: IISE Transactions
سال: 2019
ISSN: 2472-5854,2472-5862
DOI: 10.1080/24725854.2019.1632502