This book proposes capacity options as a flexible alternative air cargo contract type, and illustrates how capacity can be priced through option contracts. The analysis is accomplished by means of an analytical multivariate optimization model under price and demand uncertainty. A case study using data from a leading German carrier illustrates the financial potential. Finally, the author shows how capacity-option contracts integrate into the context of air cargo revenue management.

Michael Becher develops a concept for an integrated capacity and price control in revenue management. His concept is based on fuzzy expert controllers and complies with the defined business and application requirements.

This book describes the emerging field of revenue management and its applications across a broad spectrum of business activity. It recounts the history and development of revenue management and addresses the analytical tools needed to integrate revenue management into management generally and financial and accounting practice in particular. Revenue Management discusses and assesses various pricing practices and other revenue management techniques. It gives particular attention to the role of capacity analysis and the connection of revenue management to the theory of constraints. While revenue management originated in the service industries, it is now practiced across a broad spectrum of business and not-for-profit organizations. This book will be a useful guide to managers at all levels who wish to give greater consideration to the importance of revenue management in their organizations. The second edition reorganizes the presentation of the subject, adds many new examples, and concludes with a chapter on emerging issues.

This book revises the well-known capacity control problem in revenue management from the perspective of a risk-averse decision-maker. Modelling an expected utility maximizing decision maker, the problem is formulated as a risk-sensitive Markov decision process. Special emphasis is put on the existence of structured optimal policies. Numerical examples illustrate the results.

This book studies air cargo capacity control problems. The focus is on analyzing decision models with intuitive optimal decisions as well as on developing efficient heuristics and bounds. Three different models are studied: First, a model for steering the availability of cargo space on single legs. Second, a model that simultaneously optimizes the availability of both seats and cargo capacity. Third, a decision model that controls the availability of cargo capacity on a network of flights.

This book revises the well-known capacity control problem in revenue management from the perspective of a risk-averse decision-maker. Modelling an expected utility maximizing decision maker, the problem is formulated as a risk-sensitive Markov decision process. Special emphasis is put on the existence of structured optimal policies. Numerical examples illustrate the results.