Track: Engineering Management
Abstract
Change point refers to the time when a process really shifts from a normal condition to an unexpected condition. Identification of the change point leads one to an effectiveness root cause analysis of the process. In the case that there exists a multi-dimensional data sets i.e. panel data, an expert can analyze a variable of a cross-section on a determined time series at the same time. This research attempts to detect and analyze the change point based on the number of cars manufactured by different companies around the world in the last 19 years. This paper first identifies the change point of each country separately and then addresses the change point of all countries simultaneously using panel data approach. The comparative report of this paper helps one to analyze factors performed the change of the production volume.