用乐观系数求解报贩满意问题

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Foundations of Computing and Decision Sciences Pub Date : 2019-09-01 DOI:10.2478/fcds-2019-0013
M. Bieniek
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引用次数: 0

摘要

摘要在本研究中,考虑了令人满意的报贩问题,该问题被定义为超过预期利润的概率乘以正常数的最大化。这个被称为乐观系数的常数可以由公司管理层根据他们的偏好或市场条件来选择。该系数表示乐观决策者是低还是高。对于一般需求分布,结果在很大程度上取决于该系数。
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Satisficing Newsvendor Problem with the Optimism Coefficient
Abstract In this research note the satisficing newsvendor problem is considered which is defined as the maximization of the probability of exceeding the expected profit multiplied by a positive constant. This constant called optimism coefficient can be chosen by the firm’s management either based on their preference or the market conditions. The coefficient indicates whether there is a low or high optimistic decision maker. For the general demand distribution the results are significantly dependent on this coefficient.
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
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