书目名称 | Integrated Capacity and Price Control in Revenue Management | 副标题 | A Fuzzy System Appro | 编辑 | Michael Becher | 视频video | | 图书封面 |  | 描述 | Analyzing the basic conditions of modern service and production processes, the strengthened competition constraints and unpredictable demand fluctuations are obvious factors which c- ate an intense pressure, on the one hand, to reduce costs through an efficient process control and, on the other hand, to optimize revenue through an adequate capacity and price control (demand-side revenue optimization). Two points can be recognized when analyzing the - search on this basic profit maximization problem: Firstly, much of the research focuses on the cost-reduction problem. This is characterized, for instance, by the operational control of p- duction schedules or the logistics planning. Direct customer interaction is not the main point addressed here. Secondly, the research field underlying the capacity and price control problem during the customer transaction mostly focuses only on one of these two control components of a profit-enhancing Revenue Management. Within the implementation of a Revenue M- agement approach, it is the real-world applicability which should be focused on. With respect to unexpected fluctuations in demand and unknown behavior of the customers in respect of prices, | 出版日期 | Book 2008 | 关键词 | Controller; FEPC; FESCPC; Fuzzy Expert Systems; Price Control; Revenue Management; Revision | 版次 | 1 | doi | https://doi.org/10.1007/978-3-8349-9650-3 | isbn_softcover | 978-3-8350-0986-8 | isbn_ebook | 978-3-8349-9650-3 | copyright | Gabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2008 |
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