Using multiple time-series analysis, of assembly-line production of automobile engines — a case study

In recent years researchers have dealt with multiple time series problems in practically meaningful ways. In this paper, the assembly-line data of a major producer of automobile engines is analyzed and multivariate models are constructed and estimated to investigate the relationship among weekly engine production, downtime and the man-hours worked. The assembly line is operated on a Just-In-Time basis for normally two shifts per five day week. Such an analysis could help them in developing contingency plans consistent with their obligations to the automobile manufacturer they supplied.