A1014
Title: Impact of various weather data on leisure sales
Authors: Tomas Tichy - VSB-TU Ostrava (Czech Republic) [presenting]
Abstract: Previous research is continued, and several more weather data are analyzed, specifically their possible relation to demand shocks. For example, it is already well known that with increasing pressure on performance and widely available data on customer behaviour and supply chain process, the entities are trying to optimize (minimize) the level of bounded capital while assuring at least a minimal level of benchmark parameters. When the data is extended, the decision about their quality (frequency) starts to be crucial. So a good estimate of future values can substantially increase the efficiency of the overall process. In particular, the dependency of several leisure activities on various weather data is considered; the results are compared with simple linear methods and truly observed temperatures. The utilization of fuzzy logic and if-then rules combined with complex databases show significant improvement over standard approaches.
