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STOCHASTIC COMPARISONS IN A PRICE-QUANTITY SETTING FIRM WITH UNCERTAIN DEMAND AND EMERGENCY PROCUREMENT 被引量:1
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作者 Minghui XU Xiaolin XU yi-hui zhou 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2013年第4期401-420,共20页
We consider a newsvendor problem with price-dependent demand, in either additive or multiplicative format. The newsvendor has two modes of purchasing: regular ordering at the beginning of the selling season and emerg... We consider a newsvendor problem with price-dependent demand, in either additive or multiplicative format. The newsvendor has two modes of purchasing: regular ordering at the beginning of the selling season and emergency ordering (if the realized demand exceeds the initial order quantity) at the end of the selling season. By stochastic comparisons, we systematically investigate the effects of demand magnitude and demand randomness on pricing and ordering quantity decisions as well as expected profit of the newsvendor, under both usual stochastic order (first order stochastic dominance) and convex order (less variable). Our key findings include: (i) in contrary to the case where price is exogenous, a stochastically larger demand shock may even lead to a lower order quantity; (ii) a stochastically larger demand shock leads to a higher price for the additive demand case, but may lead to a lower price for the multiplicative demand case; (iii) a stochastically larger demand shock leads to a higher expected profit for both demand models; (iv) in general, a less variable demand leads to a higher expected profit for both demand models; and furthermore, a less variable demand shock has no effect on price for the additive demand model, but leads to a higher price for the multiplicative demand model. The implications of all these findings for pricing and order quantity are discussed in detail. 展开更多
关键词 Price-dependent newsvendor stochastic comparison demand uncertainty PRICING emergency supply option
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Skill-assessments of statistical and Ensemble Kalman Filter data assimilative analyses using surface and deep observations in the Gulf of Mexico
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作者 Zhibin SUN Lie-Yauw OEY yi-hui zhou 《Frontiers of Earth Science》 SCIE CAS CSCD 2013年第3期271-281,共11页
基于整体 Kalman 过滤器计划,在海洋建模的一个新数据吸收算法(Quasi-EnKF ) 在这份报纸被建议。这个算法吸收表面大小(海表面高度) 不仅,而且深(2000 m ) 从进地区性的海洋模型的墨西哥湾的温度观察。与普林斯顿海洋模型(POM ) 的使... 基于整体 Kalman 过滤器计划,在海洋建模的一个新数据吸收算法(Quasi-EnKF ) 在这份报纸被建议。这个算法吸收表面大小(海表面高度) 不仅,而且深(2000 m ) 从进地区性的海洋模型的墨西哥湾的温度观察。与普林斯顿海洋模型(POM ) 的使用,为由吸收表面和深观察的约二年综合,这个新算法在不同决定与一个存在吸收算法(Mellor-Ezer 计划) 相比。结果证明由比较观察,新算法超过存在那个[出版摘要] 展开更多
关键词 卡尔曼滤波 数据同化 墨西哥湾 技能评估 集合 统计 海洋模型 海平面高度
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