Criteria 发表于 2025-3-23 11:25:46
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Revenue Management in Broadcasting Companies,entiate prices, thereby exploiting customer heterogeneity, attracting more customers (= advertisers) and increasing demand. Faced with operational inflexibility on the one hand and different values of demand on the other hand, RM problems arise.起草 发表于 2025-3-23 21:17:33
Conclusion, example applications we have presented a structure of the field demonstrating the relationship of capacity control, overbooking, dynamic pricing and auctions. We have seen that not every application from those four areas satisfy the prerequisites; we have thus focused on “RM in the strict sense”, i. e. capacity control and overbooking.Cumulus 发表于 2025-3-23 22:48:32
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he most effective decision-making tool for OIP quality control (QC) in comparison with newly introduced, mutually-independent efficient data analysis (EDA) metrics that can be derived either from full resolution or abbreviated impactor measurements (AIM).978-1-4899-7946-9978-1-4614-6296-5打包 发表于 2025-3-24 08:01:42
he most effective decision-making tool for OIP quality control (QC) in comparison with newly introduced, mutually-independent efficient data analysis (EDA) metrics that can be derived either from full resolution or abbreviated impactor measurements (AIM).978-1-4899-7946-9978-1-4614-6296-5hardheaded 发表于 2025-3-24 13:22:36
he most effective decision-making tool for OIP quality control (QC) in comparison with newly introduced, mutually-independent efficient data analysis (EDA) metrics that can be derived either from full resolution or abbreviated impactor measurements (AIM).978-1-4899-7946-9978-1-4614-6296-5Condescending 发表于 2025-3-24 17:39:22
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he most effective decision-making tool for OIP quality control (QC) in comparison with newly introduced, mutually-independent efficient data analysis (EDA) metrics that can be derived either from full resolution or abbreviated impactor measurements (AIM).978-1-4899-7946-9978-1-4614-6296-5诽谤 发表于 2025-3-25 00:38:46
he most effective decision-making tool for OIP quality control (QC) in comparison with newly introduced, mutually-independent efficient data analysis (EDA) metrics that can be derived either from full resolution or abbreviated impactor measurements (AIM).978-1-4899-7946-9978-1-4614-6296-5