Risk-Averse Capacity Control in Revenue Management

1. Introduction

Part I. Basic Principles

2. Markov Decision Processes and the Total Reward Criterion

3. Expected Utility Theory for Sequential Decision Making

Part II. Expected Revenue Maximizing Capacity Control

4. Capacity Control in a Random Environment

5. Basic Single Resource Capacity Control Models in Revenue Management

Part III. Expected Utility Maximizing Capacity Control

6. Capacity Control Maximizing Additive Time-Separable Utility

7. Capacity Control Maximizing Atemporal Utility

8. An Extension: Capacity Control Under a General Discrete Choice Model of Consumer Behavior

9. Conclusion

DRM-restrictions

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Keywords: BUSINESS & ECONOMICS / Management Science BUS042000