Integrated Capacity and Price Control in Revenue Management

1. Front Matter

   Pages I-XX

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2. Introduction

   Pages 1-15

3. Conception for a simultaneous capacity and price control

   Pages 17-48

4. Concretization of the concept for the simultaneous capacity and price control

   Pages 59-81

5. Analysis of the capacity control option: FECC

   Pages 83-97

6. Analysis of the price control option: FEPC

   Pages 99-116

7. Analysis of the integrated capacity and price control: FESCPC

   Pages 117-146

8. Summary

   Pages 147-155

9. Back Matter

   Pages 157-173

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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.

• Controller
• FEPC
• FESCPC
• Fuzzy Expert Systems
• Price Control
• Revenue Management
• Revision

Dr. Michael Becher ist wissenschaftlicher Mitarbeiter von Prof. Dr. Axel Tuma am Lehrstuhl für Betriebswirtschaftslehre, insbesondere Produktions- und Umweltmanagement, der Universität Augsburg.

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