## 6 Summary and Discussion  
The article reviews and critically evaluates the methods used to determine process capability. The capability of production processes was treated here as the basic property determining their quality, conditioning control and, as a consequence, process management. In the case of a process-based approach to organization management, process capability can and should be one of the key instruments of organization management, in particular, quality management in the organization. Against the background of the methods used so far to determine the capability of production processes, traditional and percentile, the article presents the assumptions of the bootstrap method and discusses the effects of using this method in relation to specific cases of process flows [60]. An attempt was also made to use the bootstrap method to analyze production processes. In addition, a procedure for determining the capability of production processes based on the bootstrap method was developed and this procedure was used to analyze the process of manufacturing shafts with grooves (production process). The above model for assessing the capability of production processes using the bootstrap method for low-volume production has been implemented in the defense industry. On the basis of the literature studies, research and analysis of the results obtained, the following conclusions can be drawn:  
1. The procedure of process capability determination, developed on the basis of the bootstrap method, is a simplification compared to the classic method by omitting the assessment of the shape of the distribution of measured parameters. 2. An examined comparative analysis of the processes capabilities, determined by the bootstrap and classic methods, including those based on the simulation of results obtained using the classic method for a small sample size, allowed the determination of new criterion values of the process capability, analyzed by the bootstrap method, based on the small random sample size. 3. The use of bootstrap analysis results in a better approximation of confidence intervals of the production process capability factor than traditional analyses. The obtained test results confirm both the narrowing of the confidence interval when using the bootstrap method and the possibility of determining a better estimator of the lower limit of this range. The lower limit of process capability, obtained on the basis of the bootstrap method, is shifted upwards compared to the results obtained using the classic method. This is important when assessing process capability because the obtained value of the lower confidence interval limit means that at the selected confidence level the actual capability of the tested process will not be lower. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Cp** & \multicolumn{2}{c}{**Cp\({}^{\textbf{B}}\)MIN**} \\ \hline
**n = 100** & **n = 100** & **n = 10** \\ \hline
1.0 & 0.86 & 0.78 \\
1.33 & 1.15 & 1.05 \\
1.67 & 1.44 & 1.31 \\
2.0 & 1.72 & 1.57 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Sample criterion values of process capability assessment for the lower limit of bootstrap process capability in relation to the process capability determined by the traditional method for normal distribution. Source: own study. New criterion values for process capability determined by the bootstrap method were developed. The introduced criteria make it possible to assess the capabilities of processes taking place in various branches of the economy (different classes of processes), determined by the bootstrap method, and are equivalent to the criteria used so far resulting from the use of the classic method of determining capacity. The developed criteria allow the assessment of the capability of the processes examined also on the basis of small sample sizes (\(n\geq 10\)). Based on the conducted research and literature study, the following possibilities of practical application of bootstrap analysis can be proposed:  
1.