Abstract
In many industrial processes, the quality of a product or a process can be represented by the relationship of a function between a response variable and one or more explanatory variables. This function is called a profile. This article uses a nonparametric resampling method to develop a control chart to monitor the linear profile process. We evaluate the effectiveness of the new and the traditional control charts by simulation studies. The traditional control charts assuming normal random error term is shown not having good performance. Finally, we use an example to illustrate how to complement our proposed control chart.