The purpose of the "Robust Daily Control Chart" is to give information about the stability and capability of the process and also the actual risk of missing the target by the end of the month. The proposed method is easy to be used, robust and many experiments have evidenced its quality.  The tool is implemented in VBA Excel, so it does not require any installation and it has a friendly interface.          There are situations both in manufacturing and service operations where the process is managed on daily basis in order to reach a target by the end of the month.  The idea is to update the chart every day and then evaluate the current risk of missing the target of the month. The tool will provide information about the necessary performance in the remaining days of the month to reach the target.                   An illustration of the tool is seen in the figure 1.         Figure 1          In the example, it is plotted a P-Chart because the data is discrete. The metric is the proportion between the quantity of orders delivered on time and the total number of orders delivered. The chart will plot the previous month and the current month.  The red doted lines are the control limits, the blue line is the specification limit (in this case there is only the lower specification limit), the green line is the average, and the continuous red line id the cumulative value of the metric until the current day of the month. Considering the last entry refers to January, 08th, if it was the last day of the month, the metric would close at 84.91%. It is given also the stability and capability indexes, the risk of missing the target by the end of the month (in this case it is 22%), the result of the normality test, and finally, some notes and recommendations for the user.           For example, considering the current cumulative value is 84% (higher than the specified: 80%), it is necessary to have at least an overall performance of 77% from now to the end of the month to ensure the metric will be closed within the specified range by the end of the month.            The interface with the user is presented in the next figure. Figure 2                      It is only necessary to populate the yellow cells, so it is easy to use the tools with no need of statistical software or advanced statistical knowledge.            You can buy the tool for only US$ 2.50. The file will be sent to you via email in 2 days. For additional support, submit the form by this link.