Integrated capacity and price control in revenue management. A fuzzy system approach.

"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 othe...

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Bibliographic Details
Main Author: Becher, Michael
Format: Ebook
Language:English
Published: [Germany] : Betriebswirtschaftlicher Verlag Dr. Th. Gabler : GWV Fachverlage, Wiesbaden, 2008.
Series:Gabler Edition Wissenschaft.
Subjects:
Online Access:Springer eBooks

MARC

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100 1 |a Becher, Michael. 
245 1 0 |a Integrated capacity and price control in revenue management.  |p A fuzzy system approach. 
246 1 0 |a Fuzzy system approach 
264 1 |a [Germany] :  |b Betriebswirtschaftlicher Verlag Dr. Th. Gabler :  |b GWV Fachverlage, Wiesbaden,  |c 2008. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
490 1 |a Gabler Edition Wissenscahft 
504 |a Includes bibliographical references. 
505 0 0 |t Introduction --  |t Conception for a simultaneous capacity and price control --  |t Concretization of the concept for the simultaneous capacity and price control --  |t Analysis of the capacity control option: FECC --  |t Analysis of the price control option: FEPC --  |t Analysis of the integrated capacity and price control: FESCPC --  |t Summary. 
520 |a "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, a solution must be provided that considers these uncertainties in a way which will - sure that the necessary information can be obtained in practice. Against this background, Mr. Becher develops a concept for an integrated capacity and price control in Revenue Management based on Fuzzy Expert Controllers. It is able to solve the outlined revenue objective under a practicable consideration of the underlying uncertainties."--Publisher's website. 
588 |a Machine converted from AACR2 source record. 
588 0 |a Print version record. 
650 0 |a Revenue management.  |9 328633 
776 0 8 |i Print version:  |a Becher, Michael.  |t Integrated Capacity and Price Control in Revenue Management.  |d Wiesbaden : Springer Fachmedien, ©2008  |z 9783835009868 
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830 0 |a Gabler Edition Wissenschaft.  |9 265005 
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