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Revenue Management and Survival Analysis in the Automobile Industry
André Jerenz develops a price-based revenue management framework to support retailers in establishing better and more profitable pricing strategies, including assigning an initial asking price and the adjustment of price over time. For the profit maximization problem of a used car retailer, the author derives different algorithms for determining optimal strategies by applying stochastic control theory. Within the scope of the demand forecasting component, he proposes the adoption of survival analysis for estimating individual price response functions, modeled by parametric and semi-parametric survival functions. Thus, the effects of variables such as the asking price are taken into account. The evaluation of data from a case study in the German used car market reveals a significant potential for an increase in profitability and confirms the proposed price-based revenue management concept.
Evaluation of Cooperative Planning in Supply Chains : An Empirical Approach of the European Automotive Industry
Modern literature has heralded the "Era of Network Competition" in which cooperating networks and not individual firms seek to attain competitive advantages. Supply chains in the automotive industry provide a good example of such cooperative environments which are characterized by a division of labor and where almost no final product is produced and sold by just one company alone.
