Professur für Service Analytics

Revenue Management

Vorlesung mit Übung für Masterstudierende

Prof. Dr. Catherine Cleophas (Vorlesung)
Lena Hörsting (Übung)

 

Zusammenfassung: 

Revenue Management considers the formulation and solution of tactical and operative pricing problems given methods of operations research. It is based on the sophisticated implementation of quantitative, computer-based planning approaches aiming to maximize revenue. The main instruments are demand forecasting, pricing, capacity-controls, and overbooking. Major application areas are in the service sector, particularly airlines, car rental companies as well as hotels and restaurants. Other application areas include peak-load pricing for energy or telecommunication suppliers as well as mark-down management in the retail industry. 
 

Inhalt: 

The course will cover the following basic topics as well as selected advanced methods:
  • Revenue mangement objectives, conditions, and planning process
  • Concepts of price differentiation
  • Capacity Controls: For single and multiple resources as well as given independent and dependent demand models
  • Demand estimation and forecasting
  • Customer choice modeling
  • Overbooking
  • Dynamic Pricing
     

Lernziele:

Participants gain theoretical background knowledge in the following areas:
  • requirements and conditions of revenue management and pricing
  • approaches to demand estimation and forecasts
  • capacity- and price-based revenue optimization models
  • static and dynamic overbooking models
They also gain hands-on experience in applying these concepts to case scenarios in
  • applying revenue management concepts to new application areas
  • extending their understanding of a topic in ongoing development through state-of-the-art research papers
     

Literatur:

  • Klein, Steinhardt: Revenue Management – Grundlagen und mathematische Methoden, 2008
  • Talluri, van Ryzin: The Theory and Practice of Revenue Management, 2008​​​​
  • Further literature is announced during the module

 

Weitere Informationen:

 

Semesterspezifische Informationen, Ort und Zeit der Veranstaltungen sowie die Prüfungen werden im UnivIS sowie in OpenOLAT bekannt gegeben.