  Monitoring the ratio of two normal random variables plays an important role
in several manufacturing environments. For short production runs, however, the
control charts assumed infinite processes cannot function effectively to detect
anomalies. In this paper, we tackle this problem by proposing two one-sided
Shewhart-type charts to monitor the ratio of two normal random variables for an
infinite horizon production. The statistical performance of the proposed charts
is investigated using the truncated average run length as a performance measure
in short production runs. In order to help the quality practitioner to
implement these control charts, we have provided ready-to-use tables of the
control limit parameters. An illustrative example from the food industry is
given for illustration.
