Titlebook: Revenue Management and Survival Analysis in the Automobile Industry; André Jerenz Book 2008 Gabler Verlag | Springer Fachmedien Wiesbaden

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Computational Analysis: Proof of Concept,retailers. After describing the complete revenue management module in section 6.1, the framework is applied to a chosen used vehicle in section 6.2. In section 6.3, the general potential for profit enhancement is estimated by analyzing an extensive independent dataset and comparing the discounted pr

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Introduction,es widened as well from capacity control and dynamic pricing to more sophisticated approaches. The implementation of revenue management techniques has prevented bankruptcy at a number of companies and has changed the business process in whole branches.

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Book 2008ication areas, it has been introduced to other production and logistics processes as well. For the automobile industry so far, only a few revenue managementmodels have been developed but practically none for its used car sector. Being a sector with suitable prerequisites and a low pro?t margin, this

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Survival Analysis: Estimation of the Price-Response Function,itioners, especially for products traded infrequently such as used vehicles. Therefore, the following chapter presents a conceptual framework for estimating individual demand functions by applying survival analysis with special regard to the used car sector and its particular characteristics.

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Modeling the Price-Based Revenue Management Problem,The objective of this chapter is to address the optimization module of the pricebased revenue management program. Optimal pricing strategies are derived for a used car retailer by applying stochastic optimal control theory and dynamic programming techniques to maximize expected profit.

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Conclusions and Further Directions,The final chapter identifies possible extensions within this work and areas for future research activities in section 7.1 and summarizes the main findings of the book in section 7.2.