Revenue management, operations research and artificial intelligence: tools application as support to decision makers in parking industry

Abstract

The successful application of Revenue Management (RM) to the seat inventory control (SIC) problem of major airlines has made it interesting to consider incorporating revenue management tools in parking industry. The objective of this paper is to motivate studies regarding to the development of methodologies that permit offer solutions for the problem for achieve the maximum revenue in parking facilities doing use of Revenue Management, Operations Research (OR) and Artificial Intelligence (AI) techniques. To accomplish this objective we do a brief summary about all those techniques and some applications in parking industry first, followed by some ideas regarding to development of methodologies in order to reach the maximum revenue considering as relevant include AI techniques as tool qualitative in the demand forecasting and the optimization of pricing.