Using data driven simulation to build inventory model

Many general-purpose simulation languages (such as ARENA, SLAM II, GPSS/H, SIMAN etc) have been the major simulation tools to simulate the demand-supply processes. They have made great contributions to the decision making. But in the recent years, followed by the fast development of WINDOW applications, powerful PC hardware and software, numerous applications have used different approaches to develop simulation applications. One rapidly developing area in simulation is dynamic data-driven simulation (DDDS) by using data manipulation and analysis packages. SAS is a powerful tool for data analysis and data manipulation. It can also be used to build simulation models in data driven applications. This article presents our research development in this area for demand forecast applications.