Revenue management is the art and science of predicting customer demand in real time and optimizing the price and availability of products according to demand. What is new in revenue management is not the demand management decisions themselves, but rather the way in which these decisions are made. The real innovation in revenue management lies in the way decisions and information systems are made. Revenue management systems collect information and make decisions based on it, using modelling of ongoing processes. A significant opportunity is in modelling approaches. Conventional modelling approaches assume that customers are passive and not involved in any decision-making processes. This simplification is often unrealistic for many practical problems. In response, there has been interest in incorporating strategic customer behavior in recent years. This paper presents network management models with consumer demand for multiple products and intertemporal substitutions. The models are based on linear programming approximations with Data Envelopment Analysis methods.